{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:36:53Z","timestamp":1783183013852,"version":"3.54.6"},"reference-count":116,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2015,7,2]],"date-time":"2015-07-02T00:00:00Z","timestamp":1435795200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1007\/s00521-015-1933-9","type":"journal-article","created":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T06:39:33Z","timestamp":1435732773000},"page":"1273-1300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Adaptive noise-reducing anisotropic diffusion filter"],"prefix":"10.1007","volume":"27","author":[{"given":"Mariem","family":"Ben Abdallah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihene","family":"Malek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad Taher","family":"Azar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hafedh","family":"Belmabrouk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julio","family":"Esclar\u00edn Monreal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl","family":"Krissian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,7,2]]},"reference":[{"key":"1933_CR1","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1007\/978-1-4419-7011-4","volume-title":"Sparse and redundant representations: from theory to applications in signal and image processing","author":"M Elad","year":"2010","unstructured":"Elad M (2010) Sparse and redundant representations: from theory to applications in signal and image processing. Springer Science & Business Media, New York, p 376"},{"issue":"12","key":"1933_CR2","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1109\/LSP.2002.806054","volume":"9","author":"L Sendur","year":"2002","unstructured":"Sendur L, Selesnick IW (2002) Bivariate shrinkage with local variance estimation. IEEE Trans Signal Process Lett 9(12):438\u2013441. doi: 10.1109\/LSP.2002.806054","journal-title":"IEEE Trans Signal Process Lett"},{"issue":"3","key":"1933_CR3","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1109\/18.382009","volume":"41","author":"DL Donoho","year":"1995","unstructured":"Donoho DL (1995) De-noising by soft-thresholding. IEEE Trans Inf Theory 41(3):613\u2013627. doi: 10.1109\/18.382009","journal-title":"IEEE Trans Inf Theory"},{"key":"1933_CR4","volume-title":"A wavelet tour of signal processing","author":"SG Mallat","year":"1999","unstructured":"Mallat SG (1999) A wavelet tour of signal processing. Elsevier, USA"},{"issue":"2","key":"1933_CR5","doi-asserted-by":"publisher","first-page":"8084","DOI":"10.1049\/ip-vis:19990238","volume":"146","author":"K Rank","year":"1999","unstructured":"Rank K, Lendl M, Unbehauen R (1999) Estimation of image noise variance. IEE Proc Vis Image Signal Process 146(2):8084. doi: 10.1049\/ip-vis:19990238","journal-title":"IEE Proc Vis Image Signal Process"},{"key":"1933_CR6","doi-asserted-by":"publisher","unstructured":"Amer A, Mitiche A, Dubois E (2002) Reliable and fast structure-oriented video noise estimation. In: International conference on image processing (ICIP 2002), IEEE. Rochester, New York, pp 840\u2013843. 22\u201325 Sept. doi: 10.1109\/TCSVT.2004.837017","DOI":"10.1109\/TCSVT.2004.837017"},{"key":"1933_CR7","doi-asserted-by":"publisher","unstructured":"Tai SC, Yang SM (2008) A fast method for image noise estimation using laplacian operator and adaptive edge detection. In: 3rd international symposium on communications, control and signal processing, ISCCSP 2008. Malta, pp 1077\u20131081. 12\u201314 March. doi: 10.1109\/ISCCSP.2008.4537384","DOI":"10.1109\/ISCCSP.2008.4537384"},{"issue":"3","key":"1933_CR8","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/JSTSP.2010.2104312","volume":"5","author":"ML Uss","year":"2011","unstructured":"Uss ML, Vozel B, Lukin VV, Chehdi K (2011) Local signal-dependent noise variance estimation from hyperspectral textural images. IEEE J Sel Top Signal Process 5(3):469\u2013486. doi: 10.1109\/JSTSP.2010.2104312","journal-title":"IEEE J Sel Top Signal Process"},{"issue":"12","key":"1933_CR9","doi-asserted-by":"publisher","first-page":"2609","DOI":"10.1016\/j.sigpro.2009.04.035","volume":"89","author":"A Foi","year":"2009","unstructured":"Foi A (2009) Clipped noisy images: heteroskedastic modeling and practical denoising. Signal Process 89(12):2609\u20132629. doi: 10.1016\/j.sigpro.2009.04.035","journal-title":"Signal Process"},{"key":"1933_CR10","doi-asserted-by":"publisher","unstructured":"Liu X, Tanaka M, Okutomi M, (2013) Estimation of signal dependent noise parameters from a single image. In: Proceedings of the 20th IEEE international conference on image processing (ICIP), 2013. Melbourne, VIC, pp 79\u201382. 15\u201318 Sept 2013. doi: 10.1109\/ICIP.2013.6738017","DOI":"10.1109\/ICIP.2013.6738017"},{"issue":"11","key":"1933_CR11","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1109\/TIP.2002.804276","volume":"11","author":"Y Yu","year":"2002","unstructured":"Yu Y, Acton ST (2002) Speckle reducing anisotropic diffusion. IEEE Trans Image Process 11(11):1260\u20131270. doi: 10.1109\/TIP.2002.804276","journal-title":"IEEE Trans Image Process"},{"key":"1933_CR12","doi-asserted-by":"publisher","unstructured":"Abramov S, Zabrodina V, Lukin V, Vozel B, Chehdi K, Astola J (2010) Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. In: Proceedings of 2010 IEEE international symposium on circuits and systems (ISCAS). Paris, pp 2642\u20132645. 30 May\u20132 June 2010. doi: 10.1109\/ISCAS.2010.5537084","DOI":"10.1109\/ISCAS.2010.5537084"},{"issue":"1","key":"1933_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4401\/ag-3141","volume":"49","author":"B Aiazzi","year":"2006","unstructured":"Aiazzi B, Alparone L, Barducci A, Baronti S, Marcoionni P, Pippi I, Selva M (2006) Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers. Ann Geogr 49(1):1\u20139. doi: 10.4401\/ag-3141","journal-title":"Ann Geogr"},{"key":"1933_CR14","doi-asserted-by":"publisher","unstructured":"Lebrun M, Colom M, Morel J (2014) The noise clinic: A universal blind denoising algorithm. In: 2014 IEEE international conference on image processing (ICIP). Paris, pp 2674\u20132678. 27\u201330 Oct 2014. doi: 10.1109\/ICIP.2014.7025541","DOI":"10.1109\/ICIP.2014.7025541"},{"issue":"2","key":"1933_CR15","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1109\/TPAMI.2007.1176","volume":"30","author":"C Liu","year":"2008","unstructured":"Liu C, Szeliski R, Kang SB, Zitnick CL, Freeman WT (2008) Automatic estimation and removal of noise from a single image. IEEE Trans Pattern Anal Mach Intell 30(2):299\u2013314. doi: 10.1109\/TPAMI.2007.1176","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1933_CR16","doi-asserted-by":"publisher","unstructured":"Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Proceedings of the sixth international conference on computer vision. Bombay, pp 839\u2013846. 4\u20137 Jan 1998. doi: 10.1109\/ICCV.1998.710815","DOI":"10.1109\/ICCV.1998.710815"},{"key":"1933_CR17","doi-asserted-by":"publisher","unstructured":"Pham TQ, van Vliet, LJ (2005) Separable bilateral filtering for fast video preprocessing. In: International conference on multimedia computing and systems\/international conference on multimedia and expo-ICME(ICMCS). New York, IEEE Press, pp 454\u2013457. 6\u20138 July 2005. doi: 10.1109\/ICME.2005.1521458","DOI":"10.1109\/ICME.2005.1521458"},{"issue":"3","key":"1933_CR18","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1145\/1179352.1141918","volume":"25","author":"B Weiss","year":"2006","unstructured":"Weiss B (2006) Fast median and bilateral filtering. ACM Trans Graph 25(3):519\u2013526. doi: 10.1145\/1179352.1141918","journal-title":"ACM Trans Graph"},{"issue":"1","key":"1933_CR19","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/s11263-007-0110-8","volume":"81","author":"S Paris","year":"2009","unstructured":"Paris S, Durand F (2009) A fast approximation of the bilateral filter using a signal processing approach. Int J Comput Vis 81(1):24\u201352. doi: 10.1007\/s11263-007-0110-8","journal-title":"Int J Comput Vis"},{"issue":"3","key":"1933_CR20","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1145\/566654.566574","volume":"21","author":"F Durand","year":"2002","unstructured":"Durand F, Dorsey J (2002) Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans Graph TOG 21(3):257\u2013266. doi: 10.1145\/566654.566574","journal-title":"ACM Trans Graph TOG"},{"issue":"10","key":"1933_CR21","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1109\/TIP.2002.801126","volume":"11","author":"M Elad","year":"2002","unstructured":"Elad M (2002) On the origin of the bilateral filter and ways to improve it. IEEE Trans Image Process 11(10):1141\u20131151. doi: 10.1109\/TIP.2002.801126","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"1933_CR22","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1109\/TPAMI.2002.1008390","volume":"24","author":"D Barash","year":"2002","unstructured":"Barash D (2002) A fundamental relationship between bilateral filtering, adaptive smoothing and the nonlinear diffusion equation. IEEE Trans Pattern Anal Mach Intell 24(6):844\u2013847. doi: 10.1109\/TPAMI.2002.1008390","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"1933_CR23","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1109\/TIP.2008.919949","volume":"17","author":"B Zhang","year":"2008","unstructured":"Zhang B, Allebach JP (2008) Adaptive bilateral filter for sharpness enhancement and noise removal. IEEE Trans Image Process 17(5):664\u2013678. doi: 10.1109\/TIP.2008.919949","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"1933_CR24","doi-asserted-by":"publisher","first-page":"0230071","DOI":"10.1117\/12.538366","volume":"14","author":"S Kim","year":"2005","unstructured":"Kim S, Allebach JP (2005) Optimal unsharp mask for image sharpening and noise removal. J Electron Imaging 14(2):0230071. doi: 10.1117\/12.538366","journal-title":"J Electron Imaging"},{"key":"1933_CR25","doi-asserted-by":"publisher","unstructured":"Hu H, de Haan G (2007) Trained bilateral filters and applications to coding artifacts reduction. In: IEEE international conference on image processing, 2007. ICIP 2007. San Antonio, TX, pp 325\u2013328. 16 Sept\u201319 Oct. doi: 10.1109\/ICIP.2007.4378957","DOI":"10.1109\/ICIP.2007.4378957"},{"issue":"6","key":"1933_CR26","doi-asserted-by":"publisher","first-page":"1919","DOI":"10.1109\/TIP.2015.2403238","volume":"24","author":"Q Yang","year":"2015","unstructured":"Yang Q (2015) Recursive approximation of the bilateral filter. IEEE Trans Image Process 24(6):1919\u20131927. doi: 10.1109\/TIP.2015.2403238","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"1933_CR27","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1364\/BOE.3.000572","volume":"3","author":"MA Mayer","year":"2012","unstructured":"Mayer MA, Borsdorf A, Wagner M, Hornegger J, Mardin CY, Tornow RP (2012) Wavelet denoising of multiframe optical coherence tomography data. Biomed Opt Express 3(3):572\u2013589. doi: 10.1364\/BOE.3.000572","journal-title":"Biomed Opt Express"},{"issue":"5","key":"1933_CR28","doi-asserted-by":"publisher","first-page":"056009","DOI":"10.1117\/1.JBO.19.5.056009","volume":"19","author":"Y Du","year":"2014","unstructured":"Du Y, Liu G, Feng G, Chen Z (2014) Speckle reduction in optical coherence tomography images based on wave atoms. J Biomed Opt 19(5):056009. doi: 10.1117\/1.JBO.19.5.056009","journal-title":"J Biomed Opt"},{"key":"1933_CR29","first-page":"1018","volume":"5266","author":"KU Barthel","year":"2003","unstructured":"Barthel KU, Cycon HL, Marpe D (2003) Image denoising using fractal and wavelet-based methods. Proc SPIE 5266:1018","journal-title":"Proc SPIE"},{"issue":"4","key":"1933_CR30","first-page":"1694","volume":"9","author":"MMH Chowdhury","year":"2012","unstructured":"Chowdhury MMH, Khatun A (2012) Image compression using discrete wavelet transform. IJCSI Int J Comput Sci issues 9(4):1694\u20131814","journal-title":"IJCSI Int J Comput Sci issues"},{"issue":"2","key":"1933_CR31","doi-asserted-by":"publisher","first-page":"7","DOI":"10.5120\/3363-4643","volume":"28","author":"G Boopathi","year":"2011","unstructured":"Boopathi G (2011) Image compression: an approach using wavelet transform and modified FCM. Int J Comput Appl 28(2):7\u201312. doi: 10.5120\/3363-4643","journal-title":"Int J Comput Appl"},{"issue":"1","key":"1933_CR32","first-page":"1","volume":"36","author":"HT Kamrul","year":"2007","unstructured":"Kamrul HT, Koichi H (2007) Haar wavelet based approach for image compression and quality assessment of compressed image. IAENG Int J Appl Math 36(1):1\u20138","journal-title":"IAENG Int J Appl Math"},{"issue":"2","key":"1933_CR33","first-page":"305","volume":"9","author":"HC Sateesh Kumar","year":"2009","unstructured":"Sateesh Kumar HC, Raja KB, Venugopal KR, Patnaik LM (2009) Automatic image segmentation using wavelets. IJCSNS Int J Comput Sci Netw Secur 9(2):305\u2013313","journal-title":"IJCSNS Int J Comput Sci Netw Secur"},{"key":"1933_CR34","doi-asserted-by":"publisher","unstructured":"Lee J, Kim Y, Park C, Park Changhan, Paik Joonki (2006) Robust feature detection using 2D wavelet transform under low light environment. In: Intelligent computing in signal processing and pattern recognition lecture notes in control and information sciences, vol 345, pp 1042\u20131050. doi: 10.1007\/978-3-540-37258-5_134","DOI":"10.1007\/978-3-540-37258-5_134"},{"issue":"8","key":"1933_CR35","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.ndteint.2010.07.006","volume":"43","author":"X Ma","year":"2010","unstructured":"Ma X, Peyton AJ (2010) Feature detection and monitoring of eddy current imaging data by means of wavelet based singularity analysis. NDT & E Int 43(8):687\u2013694. doi: 10.1016\/j.ndteint.2010.07.006","journal-title":"NDT & E Int"},{"key":"1933_CR36","doi-asserted-by":"publisher","unstructured":"Habib W, Siddiqui AM, Touqir I (2013) Wavelet based despeckling of multiframe optical coherence tomography data using similarity measure and anisotropic diffusion filtering. In: 2013 IEEE international conference on bioinformatics and biomedicine (BIBM). Shanghai, pp 330\u2013333. 18\u201321 Dec. doi: 10.1109\/BIBM.2013.6732512","DOI":"10.1109\/BIBM.2013.6732512"},{"key":"1933_CR37","unstructured":"Witkin A (1983) Scale space filtering. In: Proceedings of the 8th International Joint Con5 Artficial Zntell. Karlsruhe, pp 1019\u20131022. August 1983"},{"issue":"2","key":"1933_CR38","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1109\/18.119727","volume":"38","author":"S Mallat","year":"1992","unstructured":"Mallat S, Hwang WL (1992) Singularity detection and processing with wavelets. IEEE Trans Inf Theory 38(2):617\u2013643. doi: 10.1109\/18.119727","journal-title":"IEEE Trans Inf Theory"},{"issue":"6","key":"1933_CR39","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/83.336245","volume":"3","author":"X Yansun","year":"1994","unstructured":"Yansun X, John BW, Dennis MH Jr, Jian L (1994) Wavelet transform domain filters: a spatially selective noise filtration technique. IEEE Trans Image Process 3(6):747\u2013758. doi: 10.1109\/83.336245","journal-title":"IEEE Trans Image Process"},{"issue":"432","key":"1933_CR40","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1080\/01621459.1995.10476626","volume":"90","author":"D Donoho","year":"1995","unstructured":"Donoho D (1995) Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90(432):1200\u20131224. doi: 10.1080\/01621459.1995.10476626","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"1933_CR41","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1109\/18.382009","volume":"41","author":"D Donoho","year":"1995","unstructured":"Donoho D (1995b) De-noising by soft-thresholding. IEEE Trans Inf Theory 41(3):613\u2013627. doi: 10.1109\/18.382009","journal-title":"IEEE Trans Inf Theory"},{"issue":"9","key":"1933_CR42","doi-asserted-by":"publisher","first-page":"1522","DOI":"10.1109\/83.862630","volume":"9","author":"SG Chang","year":"2000","unstructured":"Chang SG, Yu B, Vetterli M (2000) Spatially adaptive wavelet thresholding with context modeling for image denoising. IEEE Trans Image Process 9(9):1522\u20131531. doi: 10.1109\/83.862630","journal-title":"IEEE Trans Image Process"},{"key":"1933_CR43","doi-asserted-by":"publisher","unstructured":"Li H, Wang S (2009) A new image denoising method using wavelet transform. In: International forum on information technology and applications, 2009. IFITA \u201909. In Chengdu, pp 111\u2013114. 15\u201317 May. doi: 10.1109\/IFITA.2009.47","DOI":"10.1109\/IFITA.2009.47"},{"key":"1933_CR44","doi-asserted-by":"publisher","unstructured":"Buades A, Coll B, Morel JM (2005) A non-local algorithm for image denoising. In: IEEE computer society conference on computer vision and pattern recognition, 2005. CVPR 2005. San Diego, CA, pp 260\u201365. 20\u201325 June. doi: 10.1109\/CVPR.2005.38","DOI":"10.1109\/CVPR.2005.38"},{"key":"1933_CR45","doi-asserted-by":"publisher","unstructured":"Dauwe A, Goossens B, Luong H, Philips W (2008) A fast non-local image denoising algorithm. In: Proceedings of SPIE electronic imaging. San Diego, CA, pp 681210\u2013681210. 16\u201321 Feb. doi: 10.1117\/12.765505","DOI":"10.1117\/12.765505"},{"issue":"4","key":"1933_CR46","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/MSP.2014.2311305","volume":"31","author":"C Deledalle","year":"2014","unstructured":"Deledalle C, Denisy L, Poggiz G, Tupinx F, Verdoliva L (2014) Exploiting patch similarity for SAR image processing: the nonlocal paradigm. IEEE Signal Process Mag 31(4):69\u201378. doi: 10.1109\/MSP.2014.2311305","journal-title":"IEEE Signal Process Mag"},{"issue":"12","key":"1933_CR47","doi-asserted-by":"publisher","first-page":"2649","DOI":"10.1109\/TIP.2009.2028259","volume":"18","author":"T Tolga","year":"2009","unstructured":"Tolga T (2009) Principal neighborhood dictionaries for nonlocal means image denoising. IEEE Trans Image Process 18(12):2649\u20132660. doi: 10.1109\/TIP.2009.2028259","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"1933_CR48","doi-asserted-by":"publisher","first-page":"3743","DOI":"10.1016\/j.aeue.2013.07.011","volume":"68","author":"K Wua","year":"2013","unstructured":"Wua K, Zhanga X, Dinga M (2013) Curvelet based nonlocal means algorithm for image denoising. Int J Electron Commun 68(1):3743. doi: 10.1016\/j.aeue.2013.07.011","journal-title":"Int J Electron Commun"},{"issue":"7","key":"1933_CR49","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/34.56205","volume":"12","author":"P Perona","year":"1990","unstructured":"Perona P, Malik J (1990) Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell 12(7):629\u2013639. doi: 10.1109\/34.56205","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"1933_CR50","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/34.857003","volume":"22","author":"C Samson","year":"2000","unstructured":"Samson C, Blanc-F\u00e9raud L, Aubert G, Zerubia J (2000) A variational model for image classification and restoration. IEEE Trans Pattern Anal Mach Intell 22(5):460\u2013472. doi: 10.1109\/34.857003","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1933_CR51","doi-asserted-by":"publisher","unstructured":"Grazzini J, Turiel A, Yahia H (2005) Presegmentation of high-resolution satellite images with a multifractal reconstruction scheme based on an entropy criterium. In: IEEE international conference on image processing, 2005. ICIP 2005. Italy, pp I-649\u2013652. 11\u201314 Sept. doi: 10.1109\/ICIP.2005.1529834","DOI":"10.1109\/ICIP.2005.1529834"},{"issue":"4","key":"1933_CR52","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/S0083-6656(96)00038-4","volume":"40","author":"L Blanc-F\u00e9raud","year":"1996","unstructured":"Blanc-F\u00e9raud L, Barlaud M (1996) Edge preserving restoration of astrophysical images. Vistas Astron 40(4):531\u2013538. doi: 10.1016\/S0083-6656(96)00038-4","journal-title":"Vistas Astron"},{"issue":"5","key":"1933_CR53","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.patrec.2005.08.021","volume":"27","author":"SM Chao","year":"2006","unstructured":"Chao SM, Tsai DM (2006) Astronomical image restoration using an improved anisotropic diffusion. Pattern Recognit Lett 27(5):335\u2013344. doi: 10.1016\/j.patrec.2005.08.021","journal-title":"Pattern Recognit Lett"},{"issue":"9","key":"1933_CR54","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1109\/TMI.2003.816958","volume":"22","author":"P Bao","year":"2003","unstructured":"Bao P, Zhang D (2003) Noise reduction for magnetic resonance images via adaptive multiscale products thresholding. IEEE Trans Med Imaging 22(9):1089\u20131099. doi: 10.1109\/TMI.2003.816958","journal-title":"IEEE Trans Med Imaging"},{"issue":"10","key":"1933_CR55","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1109\/TMI.2003.817767","volume":"22","author":"N Villain","year":"2003","unstructured":"Villain N, Goussard Y, Idier J, Allain M (2003) Three-dimensional edge-preserving image enhancement for computed tomography. IEEE Trans Med Imaging 22(10):1275\u20131287. doi: 10.1109\/TMI.2003.817767","journal-title":"IEEE Trans Med Imaging"},{"issue":"5","key":"1933_CR56","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1109\/TMI.2003.812249","volume":"22","author":"IT Hsiao","year":"2003","unstructured":"Hsiao IT, Rangarajan A, Gindi G (2003) A new convex edge-preserving median prior with applications to tomography. IEEE Trans Med Imaging 22(5):580\u2013585. doi: 10.1109\/TMI.2003.812249","journal-title":"IEEE Trans Med Imaging"},{"issue":"12","key":"1933_CR57","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1109\/83.887971","volume":"9","author":"A Almansa","year":"2000","unstructured":"Almansa A, Lindeberg T (2000) Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection. IEEE Trans Image Process 9(12):2027\u20132042. doi: 10.1109\/83.887971","journal-title":"IEEE Trans Image Process"},{"key":"1933_CR58","doi-asserted-by":"publisher","unstructured":"Meihua X, Zhengming W (2004) Fingerprint enhancement based on edge-directed diffusion. In: International conference on image and graphics\u2014ICIG, IEEE computer society 2004. Hong Kong, pp 274\u2013277. 18\u201320 Dec. doi: 10.1109\/ICIG.2004.68","DOI":"10.1109\/ICIG.2004.68"},{"key":"1933_CR59","unstructured":"Weickert J (1994) Scale-space properties of nonlinear diffusion filtering with a diffusion tensor. Citeseer report 110, University of Kaiserslautern, P.O. Box 3049, 67653 Kaiserslautern"},{"issue":"11","key":"1933_CR60","doi-asserted-by":"publisher","first-page":"1440","DOI":"10.1109\/TMI.2002.806403","volume":"21","author":"K Krissian","year":"2002","unstructured":"Krissian K (2002) Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram. IEEE Trans Med Imaging 21(11):1440\u20131442. doi: 10.1109\/TMI.2002.806403","journal-title":"IEEE Trans Med Imaging"},{"issue":"9","key":"1933_CR61","doi-asserted-by":"publisher","first-page":"2694","DOI":"10.1109\/TIP.2006.877360","volume":"15","author":"S Aja-Fern\u00e1ndez","year":"2006","unstructured":"Aja-Fern\u00e1ndez S, Alberola-L\u00f3pez C (2006) On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering. IEEE Trans Image Process 15(9):2694\u20132701. doi: 10.1109\/TIP.2006.877360","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"1933_CR62","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1016\/j.imavis.2008.08.002","volume":"27","author":"S Aja-Fern\u00e1ndez","year":"2009","unstructured":"Aja-Fern\u00e1ndez S, Vegas-S\u00e1nchez-Ferrero G, Mart\u00edn-Fern\u00e1ndez M, Alberola-L\u00f3pez C (2009) Automatic noise estimation in images using local statistics. Addit Mult Cases 27(6):756\u2013770. doi: 10.1016\/j.imavis.2008.08.002","journal-title":"Addit Mult Cases"},{"issue":"6","key":"1933_CR63","doi-asserted-by":"publisher","first-page":"19631975","DOI":"10.1016\/j.sigpro.2009.12.015","volume":"90","author":"Q Chen","year":"2010","unstructured":"Chen Q, Montesinos P, Sun QS, Xia DS (2010) Ramp preserving Perona\u2013Malik model. Signal Process 90(6):19631975. doi: 10.1016\/j.sigpro.2009.12.015","journal-title":"Signal Process"},{"issue":"12","key":"1933_CR64","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1007\/s11517-010-0650-x","volume":"48","author":"D Mittal","year":"2010","unstructured":"Mittal D, Kumar V, Saxena SC, Khandelwal N, Kalra N (2010) Enhancement of the ultrasound images by modified anisotropic diffusion method. Med Biol Eng Comput 48(12):1281\u20131291. doi: 10.1007\/s11517-010-0650-x","journal-title":"Med Biol Eng Comput"},{"issue":"9","key":"1933_CR65","doi-asserted-by":"publisher","first-page":"3083","DOI":"10.1016\/j.patcog.2010.04.006","volume":"43","author":"J Yu","year":"2010","unstructured":"Yu J, Tan J, Wang Y (2010) Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method. Pattern Recognit 43(9):3083\u20133092. doi: 10.1016\/j.patcog.2010.04.006","journal-title":"Pattern Recognit"},{"issue":"10","key":"1933_CR66","doi-asserted-by":"publisher","first-page":"2492","DOI":"10.1109\/TIP.2007.904971","volume":"16","author":"J Bai","year":"2007","unstructured":"Bai J, Feng XC (2007) Fractional-order anisotropic diffusion for image denoising. IEEE Trans Image Process 16(10):2492\u20132502. doi: 10.1109\/TIP.2007.904971","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"1933_CR67","first-page":"59","volume":"34","author":"MH Xie","year":"2006","unstructured":"Xie MH, Wang ZM (2006) Edge-directed enhancing based anisotropic diffusion. Chin J Electron 34(1):59\u201364","journal-title":"Chin J Electron"},{"issue":"Suppl 5","key":"1933_CR68","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2164-12-S5-S14","volume":"12","author":"X Liu","year":"2011","unstructured":"Liu X, Liu J, Xu X, Chun L, Tang J, Deng Y (2011) A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images. BMC Genomics 12(Suppl 5):1\u201310. doi: 10.1186\/1471-2164-12-S5-S14","journal-title":"BMC Genomics"},{"issue":"5","key":"1933_CR69","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1016\/j.patcog.2012.11.012","volume":"46","author":"C Tsiotsios","year":"2012","unstructured":"Tsiotsios C, Petrou M (2012) On the choice of the parameters for anisotropic diffusion in image processing. Pattern Recognit 46(5):1369\u20131381. doi: 10.1016\/j.patcog.2012.11.012","journal-title":"Pattern Recognit"},{"issue":"8","key":"1933_CR70","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1109\/TIP.2006.875248","volume":"15","author":"G Gilboa","year":"2006","unstructured":"Gilboa G, Sochen N, Zeevi YY (2006) Estimation of optimal PDE-based denoising in the SNR sense. IEEE Trans Image Process 15(8):2269\u20132280. doi: 10.1109\/TIP.2006.875248","journal-title":"IEEE Trans Image Process"},{"key":"1933_CR71","doi-asserted-by":"publisher","unstructured":"Papandreou G, Maragos P (2005) A cross-validatory statistical approach to scale selection for image denoising by non linear diffusion. In: IEEE conference on computer vision and pattern recognition. San Diego, CA, pp 625\u2013630. 20\u201325 June. doi: 10.1109\/CVPR.2005.21","DOI":"10.1109\/CVPR.2005.21"},{"key":"1933_CR72","doi-asserted-by":"publisher","unstructured":"Cohen E, Cohen LD, Zeevi YY (2014) Texture enhancement using diffusion process with potential. In: 2014 IEEE 28th convention of electrical and electronics engineers in Israel (IEEEI). Eilat, pp 1\u20135. 3\u20135 Dec. doi: 10.1109\/EEEI.2014.7005778","DOI":"10.1109\/EEEI.2014.7005778"},{"issue":"3","key":"1933_CR73","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1109\/34.276126","volume":"16","author":"GE Healey","year":"1994","unstructured":"Healey GE, Kondepudy R (1994) Radiometric CCD camera calibration and noise estimation. IEEE Trans Pattern Anal Mach Intell 16(3):267\u2013276. doi: 10.1109\/34.276126","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"1933_CR74","doi-asserted-by":"publisher","first-page":"045207","DOI":"10.1088\/0957-0233\/19\/4\/045207","volume":"19","author":"K Irie","year":"2008","unstructured":"Irie K, McKinnon AE, Unsworth K, Woodhead IM (2008) A model for measurement of noise in CCD digital-video cameras. Meas Sci Technol 19(4):045207\u2013045211. doi: 10.1088\/0957-0233\/19\/4\/045207","journal-title":"Meas Sci Technol"},{"key":"1933_CR75","doi-asserted-by":"publisher","unstructured":"Grossberg MD, Nayar SK (2003) What is the space of camera response functions. In: Proceedings 2003 IEEE computer society conference on computer vision and pattern recognition, 2003, pp 602\u2013609. 18\u201320 June 2003. doi: 10.1109\/CVPR.2003.1211522","DOI":"10.1109\/CVPR.2003.1211522"},{"key":"1933_CR76","doi-asserted-by":"publisher","unstructured":"Mitsunaga T, Nayar SK (1999) Radiometric self calibration. In: Proceedings IEEE conference on computer vision and pattern recognition CVPR\u201999. Fort Collins, CO, pp 374\u2013380. 23\u201325 June 1999. doi: 10.1109\/CVPR.1999.786966","DOI":"10.1109\/CVPR.1999.786966"},{"key":"1933_CR77","doi-asserted-by":"publisher","unstructured":"Ortiz A, Oliver G (2004) Radiometric calibration of CCD sensors: dark current and fixed pattern noise estimation. In: International conference on robotics and automation, ICRA, 2004. New Orleans, pp 4730\u20134735. 26 April\u20131 May 2004. doi: 10.1109\/ROBOT.2004.1302465","DOI":"10.1109\/ROBOT.2004.1302465"},{"key":"1933_CR78","doi-asserted-by":"publisher","unstructured":"Adams Jr, James E (1997) Design of practical color filter array interpolation algorithms for digital cameras. In: Electronic imaging\u201997. San Jose, CA, pp 117\u2013125. 8\u201314 Feb 1997. doi: 10.1117\/12.270338","DOI":"10.1117\/12.270338"},{"key":"1933_CR79","doi-asserted-by":"publisher","unstructured":"Takamatsu J, Matsushita Y, Ogasawara T, Ikeuchi K (2010) Estimating demosaicing algorithms using image noise variance. In: 2010 IEEE conference on computer vision and pattern recognition (CVPR). pp 279\u2013286. 13\u201318 June. doi: 10.1109\/CVPR.2010.5540200","DOI":"10.1109\/CVPR.2010.5540200"},{"issue":"3","key":"1933_CR80","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1117\/1.1484495","volume":"11","author":"R Ramanath","year":"2002","unstructured":"Ramanath R, Snyder WE, Bilbro GL, Sander WA (2002) Demosaicking methods for Bayer color arrays. J Electron imaging 11(3):306\u2013315. doi: 10.1117\/1.1484495","journal-title":"J Electron imaging"},{"issue":"10","key":"1933_CR81","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1109\/TMI.2004.832656","volume":"23","author":"P Gravel","year":"2004","unstructured":"Gravel P, Beaudoin G, De Guise JA (2004) A method for modeling noise in medical images. IEEE Trans Med Imaging 23(10):1221\u20131232. doi: 10.1109\/TMI.2004.832656","journal-title":"IEEE Trans Med Imaging"},{"key":"1933_CR82","unstructured":"Shree KN (2001) The CAVE databases. www.cs.columbia.edu\/CAVE Colombia"},{"key":"1933_CR83","doi-asserted-by":"publisher","unstructured":"Liu X, Tanaka M, Okutomi M (2012) Noise level estimation using weak textured patches of a single noisy image. In: Proceedings of the 19th IEEE international conference on image processing (ICIP), 2012. Orlando, FL, pp 665\u2013668. 30 Sept\u20133 Oct. doi: 10.1109\/ICIP.2012.6466947","DOI":"10.1109\/ICIP.2012.6466947"},{"key":"1933_CR84","doi-asserted-by":"publisher","unstructured":"Arthur D, Vassilvitskii S (2007) k-means++: The advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms. New Orleans, pp 1027\u20131035. 7\u20139 Jan. doi: 10.1145\/1283383.1283494","DOI":"10.1145\/1283383.1283494"},{"key":"1933_CR85","doi-asserted-by":"publisher","first-page":"49","DOI":"10.5772\/24596","volume-title":"Numerical analysis-theory and applications","author":"S Abramov","year":"2011","unstructured":"Abramov S, Zabrodina V, Lukin V, Vozel B, Chehdi K, Astola J (2011) Methods for blind estimation of the variance of mixed noise and their performance analysis. In: Awrejcewicz J (ed) Numerical analysis-theory and applications. InTech, Poland, pp 49\u201370.\u00a0doi: 10.5772\/24596"},{"issue":"204","key":"1933_CR86","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1090\/S0025-5718-1993-1195422-2","volume":"16","author":"GH Cottet","year":"1993","unstructured":"Cottet GH, Germain L (1993) Image processing through reaction combined with nonlinear diffusion. Math Comput 16(204):659\u2013673. doi: 10.1090\/S0025-5718-1993-1195422-2","journal-title":"Math Comput"},{"key":"1933_CR87","doi-asserted-by":"publisher","unstructured":"Ben Abdallah M, Malek J, Azar AT, Montesinos P, Belmabrouk H, Esclarin Monreal J, Krissian K (2015a) Automatic extraction of blood vessels in the retinal vascular tree using multiscale medialness. Int J Biomed Imaging 2015, Article ID 519024, 16 pages. doi: 10.1155\/2015\/519024","DOI":"10.1155\/2015\/519024"},{"issue":"10","key":"1933_CR88","doi-asserted-by":"publisher","first-page":"2265","DOI":"10.1109\/TIP.2009.2025553","volume":"18","author":"K Krissian","year":"2009","unstructured":"Krissian K, Aja-Fern\u00e1ndez S (2009) Noise-driven anisotropic diffusion filtering of MRI. IEEE Trans Image Process 18(10):2265\u20132274. doi: 10.1109\/TIP.2009.2025553","journal-title":"IEEE Trans Image Process"},{"key":"1933_CR89","doi-asserted-by":"publisher","unstructured":"Martin D, Fowlkes C, Tal D, Malik J (2001) A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings eighth IEEE international conference on computer vision, 2001. ICCV 2001. Vancouver, BC, pp 416\u2013423. 07\u201314 July. doi: 10.1109\/ICCV.2001.937655","DOI":"10.1109\/ICCV.2001.937655"},{"key":"1933_CR90","doi-asserted-by":"publisher","unstructured":"Yang SM, Tai SC (2010) Fast and reliable image-noise estimation using a hybrid approach. J Electron Imaging 19(3):033007-1\u2013033007-15. doi: 10.1117\/1.3476329","DOI":"10.1117\/1.3476329"},{"issue":"3","key":"1933_CR91","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/S0165-1684(98)00123-6","volume":"70","author":"JB Martens","year":"1998","unstructured":"Martens JB, Meesters L (1998) Image dissimilarity. Signal Process 70(3):155\u2013176. doi: 10.1016\/S0165-1684(98)00123-6","journal-title":"Signal Process"},{"key":"1933_CR92","doi-asserted-by":"publisher","unstructured":"Darbon J, Cunha A, Chan TF, Osher S, Jensen GJ (2008) Fast nonlocal filtering applied to electron cryomicroscopy. In: Proceedings of the 5th IEEE international symposium on biomedical imaging: from nano to macro, 2008. ISBI 2008. Paris, pp 1331\u20131334, 14\u201317 May. doi: 10.1109\/ISBI.2008.4541250","DOI":"10.1109\/ISBI.2008.4541250"},{"key":"1933_CR93","doi-asserted-by":"publisher","unstructured":"Buades A, Coll B, Morel J-M (2005) A non-local algorithm for image denoising. In: IEEE computer society conference on computer vision and pattern recognition, 2005. CVPR 2005, vol 2. San Diego, pp 60\u201365. 20\u201325 June. doi: 10.1109\/CVPR.2005.38","DOI":"10.1109\/CVPR.2005.38"},{"issue":"12","key":"1933_CR94","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1109\/LSP.2005.859509","volume":"12","author":"M Mahmoudi","year":"2005","unstructured":"Mahmoudi M, Sapiro G (2005) Fast image and video denoising via nonlocal means of similar neighborhoods. IEEE Signal Process Lett 12(12):839\u2013842. doi: 10.1109\/LSP.2005.859509","journal-title":"IEEE Signal Process Lett"},{"key":"1933_CR95","doi-asserted-by":"publisher","unstructured":"Coup\u00e9 P, Yger P, Barillot C (2006) Fast non local means denoising for 3D MR images. In: Proceedings of the 9th international conference, medical image computing and computer-assisted intervention-MICCAI 2006. Springer, Copenhagen, pp 33\u201340. 1\u20136 Oct. doi: 10.1007\/11866763_5","DOI":"10.1007\/11866763_5"},{"issue":"2","key":"1933_CR96","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.camwa.2014.11.017","volume":"69","author":"J Malek","year":"2015","unstructured":"Malek J, Azar AT, Nasralli B, Tekari M, Kamoun H, Tourki R (2015) Computational analysis of blood flow in the retinal arteries and veins using fundus image. Comput Math Appl 69(2):101\u2013116","journal-title":"Comput Math Appl"},{"key":"1933_CR97","doi-asserted-by":"publisher","unstructured":"Asad AH, Azar AT, Hassanien AE (2013a) Ant colony-based system for retinal blood vessels segmentation. In: Proceedings of seventh international conference on bio-inspired computing: theories and applications (BIC-TA 2012) advances in intelligent systems and computing, vol 201, 2013, pp 441\u2013452. doi: 10.1007\/978-81-322-1038-2_37","DOI":"10.1007\/978-81-322-1038-2_37"},{"key":"1933_CR98","doi-asserted-by":"crossref","unstructured":"Asad AH, Azar AT, Hassanien AE (2013b). An improved ant colony system for retinal vessel segmentation. In: 2013 federated conference on computer science and information systems (FedCSIS). Krak\u00f3w. 8\u201311 Sept 2013","DOI":"10.1109\/HIS.2013.6920486"},{"key":"1933_CR99","doi-asserted-by":"publisher","unstructured":"Asad AH, Azar AT, Hassanien AE (2014) A comparative study on feature selection for retinal vessel segmentation using ant colony system. In: Recent advances in intelligent informatics advances in intelligent systems and computing vol 235, pp 1\u201311. doi: 10.1007\/978-3-319-01778-5_1","DOI":"10.1007\/978-3-319-01778-5_1"},{"key":"1933_CR100","doi-asserted-by":"publisher","unstructured":"Malek J, Tourki R (2013) Blood vessels extraction and classification into arteries and veins in retinal images. In: 2013 10th international multi-conference on systems, signals and devices (SSD). Hammamet, pp 1\u20136. 18\u201321 March. doi: 10.1109\/SSD.2013.6564037","DOI":"10.1109\/SSD.2013.6564037"},{"issue":"1","key":"1933_CR101","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s00521-014-1657-2","volume":"26","author":"J Malek","year":"2014","unstructured":"Malek J, Azar AT, Tourki R (2014) Impact of retinal vascular tortuosity on retinal circulation. Neural Comput Appl 26(1):25\u201340. doi: 10.1007\/s00521-014-1657-2","journal-title":"Neural Comput Appl"},{"key":"1933_CR102","doi-asserted-by":"crossref","unstructured":"Emary E, Zawbaa H, Hassanien AE, Schaefer G, Azar AT (2014a) Retinal blood vessel segmentation using bee colony optimization and pattern search. In: IEEE 2014 international joint conference on neural networks (IJCNN 2014). Beijing International Convention Center, Beijing. 6\u201311 July","DOI":"10.1109\/IJCNN.2014.6889856"},{"key":"1933_CR103","doi-asserted-by":"crossref","unstructured":"Emary E, Zawbaa H, Hassanien AE, Schaefer G, Azar AT (2014b) Retinal vessel segmentation based on possibilistic fuzzy c-means clustering optimised with cuckoo search. In: IEEE 2014 international joint conference on neural networks (IJCNN 2014). Beijing International Convention Center, Beijing. 6\u201311 July","DOI":"10.1109\/IJCNN.2014.6889932"},{"key":"1933_CR104","doi-asserted-by":"publisher","unstructured":"Malek J, Tourki R (2013) Inertia-based vessel centerline extraction in retinal image. In: 2013 international conference on control, decision and information technologies (CoDIT). Hammamet. p 378381. 6\u20138 May. doi: 10.1109\/CoDIT.2013.6689574","DOI":"10.1109\/CoDIT.2013.6689574"},{"key":"1933_CR105","doi-asserted-by":"publisher","unstructured":"Malek J, Ben Abdallah M, Mansour A, Tourki R (2012) Automated optic disc detection in retinal images by applying region-based active aontour model in a variational level set formulation. In: 2012 international conference on computer vision in remote sensing (CVRS). Xiamen, p 3944. 6\u201318 Dec. doi: 10.1109\/CVRS.2012.6421230","DOI":"10.1109\/CVRS.2012.6421230"},{"key":"1933_CR106","unstructured":"Yin Y, Adel M, Guillaume M, Bourennane S (2010) Bayesian tracking for blood vessel detection in retinal images. In: 18th European signal processing conference (EUSIPCO 2010). Aalborg. 23\u201327 Aug. Id: hal-00483834, version 1"},{"key":"1933_CR107","doi-asserted-by":"publisher","unstructured":"Hani AFM, Soomro TA, Faye I, Kamel N, Yahya N (2014) Denoising methods for retinal fundus images. In: 2014 IEEE international conference on intelligent and advanced systems (ICIAS). Kuala Lumpur, pp 1\u20136. 3\u20135 June 2014. doi: 10.1109\/ICIAS.2014.6869534","DOI":"10.1109\/ICIAS.2014.6869534"},{"key":"1933_CR108","doi-asserted-by":"publisher","unstructured":"Sun J, Luan F, Wu H (2015) Optic disc segmentation by balloon snake with texture from color fundus image. Int J Biomed Imaging. ID 528626. 2015:14. doi: 10.1155\/2015\/528626","DOI":"10.1155\/2015\/528626"},{"key":"1933_CR109","unstructured":"Hoover A (1975) STARE database. http:\/\/www.ces.clemson.edu\/ahoover\/stare"},{"issue":"1","key":"1933_CR110","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1504\/IJIEI.2015.069100","volume":"3","author":"M Ben Abdallah","year":"2015","unstructured":"Ben Abdallah M, Malek J, Azar AT, Belmabrouk H, Esclarin Monreal J (2015b) Performance evaluation of several anisotropic diffusion filters for fundus imaging. Int J Intell Eng Inform 3(1):66\u201390. doi: 10.1504\/IJIEI.2015.069100","journal-title":"Int J Intell Eng Inform"},{"issue":"4","key":"1933_CR111","first-page":"60","volume":"1","author":"AH Asad","year":"2012","unstructured":"Asad AH, Azar AT, Hassaanien AE (2012) Integrated features based on gray-level and hu moment-invariants with ant colony system for retinal blood vessels segmentation. Int J Syst Biol Biomed Technol IJSBBT 1(4):60\u201373","journal-title":"Int J Syst Biol Biomed Technol IJSBBT"},{"key":"1933_CR112","doi-asserted-by":"publisher","unstructured":"Asad AH, Azar AT, Hassanien AE (2014a) A comparative study on feature selection for retinal vessel segmentation using ant colony system. In: Recent advances in intelligent informatics advances in intelligent systems and computing, vol 235, pp 1\u201311. doi: 10.1007\/978-3-319-01778-5_1","DOI":"10.1007\/978-3-319-01778-5_1"},{"issue":"2","key":"1933_CR113","doi-asserted-by":"crossref","first-page":"15","DOI":"10.4018\/ijrsda.2014070102","volume":"1","author":"AH Asad","year":"2014","unstructured":"Asad AH, Azar AT, Hassanien AE (2014b) A new heuristic function of ant colony system for retinal vessel segmentation. Int J Rough Sets Data Anal 1(2):15\u201330","journal-title":"Int J Rough Sets Data Anal"},{"key":"1933_CR114","doi-asserted-by":"crossref","unstructured":"Hadj Fredj A, Ben Abdallah M, Malek J, Azar AT (2015) Fundus image denoising using fpga hardware architecture. Int J Comput Appl Technol (in press)","DOI":"10.1504\/IJCAT.2016.077791"},{"issue":"10","key":"1933_CR115","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1109\/TMI.2007.898551","volume":"26","author":"E Ricci","year":"2007","unstructured":"Ricci E, Perfetti R (2007) Retinal blood vessel segmentation using line operators and support vector classification. IEEE Trans Med Imaging 26(10):1357\u20131365. doi: 10.1109\/TMI.2007.898551","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"1933_CR116","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/TMI.2010.2064333","volume":"30","author":"D Marin","year":"2011","unstructured":"Marin D, Aquino A, Geg\u00fandez-Arias ME, Bravo JM (2011) A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans Med Imaging 30(1):146\u2013158. doi: 10.1109\/TMI.2010.2064333","journal-title":"IEEE Trans Med Imaging"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1933-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-015-1933-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1933-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T21:48:35Z","timestamp":1566942515000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-015-1933-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,2]]},"references-count":116,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016,7]]}},"alternative-id":["1933"],"URL":"https:\/\/doi.org\/10.1007\/s00521-015-1933-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,2]]}}}