{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T13:01:32Z","timestamp":1773406892162,"version":"3.50.1"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2013,11,23]],"date-time":"2013-11-23T00:00:00Z","timestamp":1385164800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Math Imaging Vis"],"published-print":{"date-parts":[[2014,6]]},"DOI":"10.1007\/s10851-013-0476-x","type":"journal-article","created":{"date-parts":[[2013,11,22]],"date-time":"2013-11-22T20:28:15Z","timestamp":1385152095000},"page":"434-453","source":"Crossref","is-referenced-by-count":12,"title":["An Efficient Remote Sensing Image Denoising Method in Extended Discrete Shearlet Domain"],"prefix":"10.1007","volume":"49","author":[{"given":"Xiang-Yang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Yang-Cheng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Hong-Ying","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,11,23]]},"reference":[{"key":"476_CR1","first-page":"704","volume-title":"Proceedings of the International Conference on VLSI, Communication and Instrumentation","author":"R. Vijaya Arjunan","year":"2011","unstructured":"Vijaya Arjunan, R., Vijaya Kumar, V.: Survey analysis of various image denoising techniques\u2014a perspective view. In: Proceedings of the International Conference on VLSI, Communication and Instrumentation, Kottayam, India, pp. 704\u2013708 (2011)"},{"issue":"4","key":"476_CR2","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1109\/TIP.2011.2172799","volume":"21","author":"P. Chatterjee","year":"2012","unstructured":"Chatterjee, P., Milanfa, P.: Patch-based near-optimal image denoising. IEEE Trans. Image Process. 21(4), 1635\u20131649 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"476_CR3","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1109\/TPAMI.2007.1176","volume":"30","author":"C. Liu","year":"2008","unstructured":"Liu, C., Szeliski, R., Kang, S.B.: Automatic estimation and removal of noise from a single image. IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 299\u20133142 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"476_CR4","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1109\/TIP.2008.924281","volume":"17","author":"T. Brox","year":"2008","unstructured":"Brox, T., Kleinschmidt, O., Cremers, D.: Efficient nonlocal means for denoising of textural patterns. IEEE Trans. Image Process. 17(7), 1057\u20131092 (2008)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"476_CR5","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1137\/040616024","volume":"4","author":"A. Buades","year":"2005","unstructured":"Buades, A., Coll, B., Morel, J.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4(2), 290\u2013530 (2005)","journal-title":"Multiscale Model. Simul."},{"issue":"16","key":"476_CR6","doi-asserted-by":"crossref","first-page":"2145","DOI":"10.1016\/j.patrec.2011.06.022","volume":"32","author":"A. Pardo","year":"2011","unstructured":"Pardo, A.: Analysis of non-local image denoising methods. Pattern Recognit. Lett. 32(16), 2145\u20132149 (2011)","journal-title":"Pattern Recognit. Lett."},{"issue":"11","key":"476_CR7","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1109\/LSP.2009.2027669","volume":"16","author":"D.V.D. Van","year":"2009","unstructured":"Van, D.V.D., Kocher, M.: SURE-based non-local means. IEEE Signal Process. Lett. 16(11), 973\u2013976 (2009)","journal-title":"IEEE Signal Process. Lett."},{"issue":"5","key":"476_CR8","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1049\/iet-ipr.2011.0161","volume":"6","author":"P. Coupe","year":"2012","unstructured":"Coupe, P., Manj\u00f3n, J.V., Robles, M.: Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising. IET Image Process. 6(5), 558\u2013568 (2012)","journal-title":"IET Image Process."},{"issue":"9","key":"476_CR9","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.1109\/TIP.2011.2121083","volume":"20","author":"D.V.D. Van","year":"2011","unstructured":"Van, D.V.D., Kocher, M.: Nonlocal means with dimensionality reduction and SURE-based parameter selection. IEEE Trans. Image Process. 20(9), 2683\u20132690 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"476_CR10","first-page":"217","volume-title":"The 18th IEEE International Conference on Image Processing (ICIP)","author":"A. Rehman","year":"2011","unstructured":"Rehman, A., Wang, Z.: SSIM-based non-local means image denoising. In: The 18th IEEE International Conference on Image Processing (ICIP), pp. 217\u2013220 (2011)"},{"issue":"2","key":"476_CR11","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/j.sigpro.2011.08.011","volume":"92","author":"J. Salmon","year":"2012","unstructured":"Salmon, J., Strozecki, Y.: Patch reprojections for non-local methods. Signal Process. 92(2), 477\u2013489 (2012)","journal-title":"Signal Process."},{"issue":"23\u201324","key":"476_CR12","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1016\/j.ipl.2009.09.007","volume":"109","author":"Z. Ji","year":"2009","unstructured":"Ji, Z., Chena, Q., Suna, Q.-S., et al.: A moment-based nonlocal-means algorithm for image denoising. Inf. Process. Lett. 109(23\u201324), 1238\u20131244 (2009)","journal-title":"Inf. Process. Lett."},{"issue":"8","key":"476_CR13","doi-asserted-by":"crossref","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K. Dabov","year":"2007","unstructured":"Dabov, K., Foi, A., Katkovnik, V., et al.: Image denoising by sparse 3d transform-domain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080\u20132095 (2007)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"476_CR14","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1109\/LSP.2009.2038954","volume":"17","author":"J. Salmon","year":"2010","unstructured":"Salmon, J.: On two parameters for denoising with non-local means. IEEE Signal Process. Lett. 17(3), 269\u2013272 (2010)","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"476_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11263-009-0272-7","volume":"86","author":"V. Katkovnik","year":"2010","unstructured":"Katkovnik, V., Foi, A., Egiazarian, K., Astola, J.: From local kernel to nonlocal multiple-model image denoising. Int. J. Comput. Vis. 86(1), 1\u201332 (2010)","journal-title":"Int. J. Comput. Vis."},{"key":"476_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICCV.2007.4408981","volume-title":"The 11th International Conference on Computer Vision (ICCV 2007)","author":"S. Roth","year":"2007","unstructured":"Roth, S., Black, M.J.: Steerable random fields. In: The 11th International Conference on Computer Vision (ICCV 2007), pp. 1\u20138 (2007)"},{"issue":"2","key":"476_CR17","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.patrec.2010.09.017","volume":"32","author":"Y. Cao","year":"2011","unstructured":"Cao, Y., Luo, Y., Yang, S.: Image denoising based on hierarchical Markov random field. Pattern Recognit. Lett. 32(2), 368\u2013374 (2011)","journal-title":"Pattern Recognit. Lett."},{"issue":"3","key":"476_CR18","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1016\/j.patcog.2012.08.014","volume":"46","author":"S. Chen","year":"2013","unstructured":"Chen, S., Liu, M., Zhang, W.: Edge preserving image denoising with a closed form solution. Pattern Recognit. 46(3), 976\u2013988 (2013)","journal-title":"Pattern Recognit."},{"key":"476_CR19","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1007\/978-3-642-32717-9_7","volume-title":"Pattern Recognition","author":"Q. Gao","year":"2012","unstructured":"Gao, Q., Roth, S.: How well do filter-based MRFs model natural images. In: Pattern Recognition, pp. 62\u201372. Springer, Berlin (2012)"},{"key":"476_CR20","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1109\/ICASSP.2012.6288080","volume-title":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","author":"J. Ho","year":"2012","unstructured":"Ho, J., Hwang, W.L.: Image denoising using wavelet Bayesian network models. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1105\u20131108 (2012)"},{"key":"476_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1007\/978-3-540-68979-9","volume-title":"Proceedings of European Conference on Computer Vision (ECCV)","author":"Y.P. Li","year":"2008","unstructured":"Li, Y.P., Huttenlocher, D.P.: Sparse long-range random field and its application to image denoising. In: Proceedings of European Conference on Computer Vision (ECCV). Lecture Notes in Computer Science, vol. 5304, pp. 344\u2013357 (2008)"},{"key":"476_CR22","doi-asserted-by":"crossref","first-page":"1574","DOI":"10.1109\/CVPR.2009.5206811","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009)","author":"A. Barbu","year":"2009","unstructured":"Barbu, A.: Learning real-time MRF inference for image denoising. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), pp. 1574\u20131581 (2009)"},{"key":"476_CR23","first-page":"839","volume-title":"Proceedings of the 1998 IEEE International Conference on Computer Vision","author":"C. Tomasi","year":"1998","unstructured":"Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the 1998 IEEE International Conference on Computer Vision, Washington, DC, pp. 839\u2013846 (1998)"},{"issue":"12","key":"476_CR24","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1109\/TIP.2008.2006658","volume":"17","author":"M. Zhang","year":"2008","unstructured":"Zhang, M., Gunturk, B.K.: Multiresolution bilateral filtering for image denoising. IEEE Trans. Image Process. 17(12), 2324\u20132333 (2008)","journal-title":"IEEE Trans. Image Process."},{"key":"476_CR25","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1109\/ICALIP.2012.6376663","volume-title":"2012 International Conference on Audio, Language and Image Processing (ICALIP)","author":"G. Liu","year":"2012","unstructured":"Liu, G., Ma, W., Ma, Y.: Combination of curvelet threshold with bilateral filtering for image denoising. In: 2012 International Conference on Audio, Language and Image Processing (ICALIP), pp. 469\u2013474 (2012)"},{"issue":"10","key":"476_CR26","doi-asserted-by":"crossref","first-page":"2364","DOI":"10.1109\/TIP.2009.2026685","volume":"18","author":"H. Yu","year":"2009","unstructured":"Yu, H., Zhao, L., Wang, H.: Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain. IEEE Trans. Image Process. 18(10), 2364\u20132369 (2009)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"476_CR27","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1109\/TIP.2010.2047906","volume":"19","author":"C.H. Lin","year":"2010","unstructured":"Lin, C.H., Tsai, J.S., Chiu, C.T.: Switching bilateral filter with a texture\/noise detector for universal noise removal. IEEE Trans. Image Process. 19(9), 2307\u20132320 (2010)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"476_CR28","doi-asserted-by":"crossref","first-page":"4309","DOI":"10.1109\/TIP.2012.2198220","volume":"21","author":"K. Zhang","year":"2012","unstructured":"Zhang, K., Lafruit, G., Lauwereins, R.: Constant time joint bilateral filtering using joint integral histograms. IEEE Trans. Image Process. 21(9), 4309\u20134314 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"476_CR29","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1109\/LSP.2013.2250280","volume":"20","author":"C. Tian","year":"2013","unstructured":"Tian, C., Krishnan, S.: Accelerated bilateral filtering with block skipping. IEEE Signal Process. Lett. 20(5), 419 (2013)","journal-title":"IEEE Signal Process. Lett."},{"key":"476_CR30","first-page":"1489","volume-title":"The 18th IEEE International Conference on Image Processing (ICIP)","author":"J. Hu","year":"2011","unstructured":"Hu, J., Li, S.: Fusion of panchromatic and multispectral images using multiscale dual bilateral filter. In: The 18th IEEE International Conference on Image Processing (ICIP), pp. 1489\u20131492 (2011)"},{"issue":"8","key":"476_CR31","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1109\/TIP.2009.2022008","volume":"18","author":"S. Lefkimmiatis","year":"2009","unstructured":"Lefkimmiatis, S., Maragos, P., Papandreou, G.: Bayesian inference on multiscale models for Poisson intensity estimation: applications to photon-limited image denoising. IEEE Trans. Image Process. 18(8), 1724\u20131741 (2009)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"476_CR32","doi-asserted-by":"crossref","first-page":"3981","DOI":"10.1109\/TIP.2012.2200491","volume":"21","author":"A. Fathi","year":"2012","unstructured":"Fathi, A., Naghsh-Nilchi, A.R.: Efficient image denoising method based on a new adaptive wavelet packet thresholding function. IEEE Trans. Image Process. 21(9), 3981\u20133990 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"476_CR33","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1049\/iet-ipr.2009.0048","volume":"4","author":"H. Rabbani","year":"2010","unstructured":"Rabbani, H., Gazor, S.: Image denoising employing local mixture models in sparse domains. IET Image Process. 4(5), 413\u2013428 (2010)","journal-title":"IET Image Process."},{"issue":"5","key":"476_CR34","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TIP.2011.2176743","volume":"21","author":"G. Yu","year":"2012","unstructured":"Yu, G., Sapiro, G., Mallat, S.: Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity. IEEE Trans. Image Process. 21(5), 2481\u20132499 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"476_CR35","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.1016\/j.sigpro.2011.03.016","volume":"91","author":"S. Yin","year":"2011","unstructured":"Yin, S., Cao, L., Ling, Y.: Image denoising with anisotropic bivariate shrinkage. Signal Process. 91(8), 2078\u20132090 (2011)","journal-title":"Signal Process."},{"issue":"6","key":"476_CR36","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1049\/iet-ipr.2010.0408","volume":"6","author":"G. Chen","year":"2012","unstructured":"Chen, G., Zhu, W.P., Xie, W.: Wavelet-based image denoising using three scales of dependency. IET Image Process. 6(6), 756\u2013760 (2012)","journal-title":"IET Image Process."},{"issue":"5","key":"476_CR37","doi-asserted-by":"crossref","first-page":"2286","DOI":"10.1109\/TSP.2012.2188520","volume":"60","author":"T. Peleg","year":"2012","unstructured":"Peleg, T., Eldar, Y.C., Elad, M.: Exploiting statistical dependencies in sparse representations for signal recovery. IEEE Trans. Signal Process. 60(5), 2286\u20132303 (2012)","journal-title":"IEEE Trans. Signal Process."},{"key":"476_CR38","doi-asserted-by":"crossref","first-page":"3841","DOI":"10.1109\/ICIP.2009.5414255","volume-title":"The 16th IEEE International Conference on Image Processing (ICIP)","author":"W. Dong","year":"2009","unstructured":"Dong, W., Wu, X., Shi, G.: Context-based bias removal of statistical models of wavelet coefficients for image denoising. In: The 16th IEEE International Conference on Image Processing (ICIP), pp. 3841\u20133844 (2009)"},{"key":"476_CR39","volume-title":"Introduction to Applied Math","author":"G. Strang","year":"1986","unstructured":"Strang, G.: Introduction to Applied Math. Wellesley-Cambridge Press, Wellesley (1986)"},{"issue":"5","key":"476_CR40","doi-asserted-by":"crossref","first-page":"2972","DOI":"10.1137\/100796066","volume":"33","author":"D. Chen","year":"2011","unstructured":"Chen, D., MacLachlan, S., Kilmer, M.: Iterative parameter-choice and multigrid methods for anisotropic diffusion denoising. SIAM J. Sci. Comput. 33(5), 2972\u20132994 (2011)","journal-title":"SIAM J. Sci. Comput."},{"issue":"3","key":"476_CR41","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.jvcir.2012.01.012","volume":"23","author":"F. Liu","year":"2012","unstructured":"Liu, F., Liu, J.: Anisotropic diffusion for image denoising based on diffusion tensors. J. Vis. Commun. Image Represent. 23(3), 516\u2013521 (2012)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"5","key":"476_CR42","doi-asserted-by":"crossref","first-page":"1369","DOI":"10.1016\/j.patcog.2012.11.012","volume":"46","author":"C. Tsiotsios","year":"2013","unstructured":"Tsiotsios, C., Petrou, M.: On the choice of the parameters for anisotropic diffusion in image processing. Pattern Recognit. 46(5), 1369\u20131381 (2013)","journal-title":"Pattern Recognit."},{"issue":"2","key":"476_CR43","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s11263-010-0330-1","volume":"92","author":"M.R. Hajiaboli","year":"2011","unstructured":"Hajiaboli, M.R.: An anisotropic fourth-order diffusion filter for image noise removal. Int. J. Comput. Vis. 92(2), 177\u2013191 (2011)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"476_CR44","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.patrec.2011.11.001","volume":"33","author":"Z. Qiu","year":"2012","unstructured":"Qiu, Z., Yang, L., Lu, W.: A new feature-preserving nonlinear anisotropic diffusion for denoising images containing blobs and ridges. Pattern Recognit. Lett. 33(3), 319\u2013330 (2012)","journal-title":"Pattern Recognit. Lett."},{"issue":"10","key":"476_CR45","doi-asserted-by":"crossref","first-page":"2265","DOI":"10.1109\/TIP.2009.2025553","volume":"18","author":"K. Krissian","year":"2009","unstructured":"Krissian, K., Aja-Fern\u00e1ndez, S.: Noise-driven anisotropic diffusion filtering of MRI. IEEE Trans. Image Process. 18(10), 2265\u20132274 (2009)","journal-title":"IEEE Trans. Image Process."},{"issue":"14","key":"476_CR46","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1049\/el.2011.3994","volume":"48","author":"H.C. Li","year":"2012","unstructured":"Li, H.C., Fan, P.Z., Khan, M.K.: Context-adaptive anisotropic diffusion for image denoising. Electron. Lett. 48(14), 827\u2013829 (2012)","journal-title":"Electron. Lett."},{"key":"476_CR47","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley, New York (1998)"},{"issue":"3","key":"476_CR48","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1007\/s11806-007-0083-3","volume":"10","author":"D. Wu","year":"2007","unstructured":"Wu, D., Peng, D., Tian, J.: Image denoising using local adaptive least squares support vector regression. Geo-Spat. Inf. Sci. 10(3), 196\u2013199 (2007)","journal-title":"Geo-Spat. Inf. Sci."},{"key":"476_CR49","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1007\/978-3-642-17534-3_11","volume-title":"Neural Information Processing, Models and Applications","author":"T.C. Lin","year":"2010","unstructured":"Lin, T.C., Yeh, C.T., Liu, M.K.: Application of SVM-based filter using LMS learning algorithm for image denoising. In: Neural Information Processing, Models and Applications. Lecture Notes in Computer Science, vol. 6444, pp. 82\u201390 (2010)"},{"key":"476_CR50","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1109\/ICCIAS.2006.295375","volume-title":"2006 International Conference on Computational Intelligence and Security","author":"S. Zhang","year":"2006","unstructured":"Zhang, S., Chen, Y.: Image denoising based on wavelet support vector machine. In: 2006 International Conference on Computational Intelligence and Security, pp. 1809\u20131812 (2006)"},{"issue":"4","key":"476_CR51","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1007\/s00521-011-0648-9","volume":"21","author":"T.C. Lin","year":"2012","unstructured":"Lin, T.C.: Decision-based filter based on SVM and evidence theory for image noise removal. Neural Comput. Appl. 21(4), 695\u2013703 (2012)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"476_CR52","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s12204-010-9740-z","volume":"15","author":"M. Li","year":"2010","unstructured":"Li, M., Yang, J., Su, Z.Y.: Support vector regression based color image restoration in YUV color space. J. Shanghai Jiaotong Univ. 15(1), 31\u201335 (2010)","journal-title":"J. Shanghai Jiaotong Univ."},{"key":"476_CR53","first-page":"1","volume-title":"2012 Spring Congress on Engineering and Technology (S-CET)","author":"G.D. Zhang","year":"2012","unstructured":"Zhang, G.D., Yang, X.H., Xu, H.: Image denoising based on support vector machine. In: 2012 Spring Congress on Engineering and Technology (S-CET), pp. 1\u20134 (2012)"},{"issue":"2","key":"476_CR54","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"C. Lin","year":"2002","unstructured":"Lin, C., Wang, S.: Fuzzy support vector machines. IEEE Trans. Neural Netw. 13(2), 464\u2013471 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"476_CR55","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TFUZZ.2005.859320","volume":"13","author":"Y. Wang","year":"2005","unstructured":"Wang, Y., Wang, S., Lai, K.K.: A new fuzzy support vector machine to evaluate credit risk. IEEE Trans. Fuzzy Syst. 13(6), 820\u2013831 (2005)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"476_CR56","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1109\/TIP.2010.2041410","volume":"19","author":"W.Q. Lim","year":"2010","unstructured":"Lim, W.Q.: The discrete shearlet transform: a new directional transform and compactly supported shearlet frames. IEEE Trans. Image Process. 19(5), 1166\u20131180 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"476_CR57","first-page":"167","volume-title":"The Ninth Conference on Computer and Robot Vision (CRV)","author":"A. Firouzmanesh","year":"2012","unstructured":"Firouzmanesh, A., Boulanger, P.: Image de-blurring using shearlets. In: The Ninth Conference on Computer and Robot Vision (CRV), pp. 167\u2013173 (2012)"},{"issue":"12","key":"476_CR58","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.1109\/TIP.2005.859385","volume":"14","author":"E.J. Balster","year":"2005","unstructured":"Balster, E.J., Zheng, Y.F., Ewing, R.L.: Feature-based wavelet shrinkage algorithm for image denoising. IEEE Trans. Image Process. 14(12), 2024\u20132039 (2005)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"476_CR59","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s11045-007-0029-9","volume":"19","author":"Y. Chen","year":"2008","unstructured":"Chen, Y., Ji, Z., Hua, C.: Spatial adaptive Bayesian wavelet threshold exploiting scale and space consistency. Multidimens. Syst. Signal Process. 19(1), 157\u2013170 (2008)","journal-title":"Multidimens. Syst. Signal Process."},{"issue":"12","key":"476_CR60","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TIP.2006.881969","volume":"15","author":"M. Elad","year":"2006","unstructured":"Elad, M., Aharon, M.: Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. Image Process. 15(12), 3736\u20133745 (2006)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Journal of Mathematical Imaging and Vision"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10851-013-0476-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10851-013-0476-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10851-013-0476-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,4]],"date-time":"2019-08-04T00:22:02Z","timestamp":1564878122000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10851-013-0476-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11,23]]},"references-count":60,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["476"],"URL":"https:\/\/doi.org\/10.1007\/s10851-013-0476-x","relation":{},"ISSN":["0924-9907","1573-7683"],"issn-type":[{"value":"0924-9907","type":"print"},{"value":"1573-7683","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,11,23]]}}}