{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:44:18Z","timestamp":1772905458646,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-17340-3","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T07:01:41Z","timestamp":1698044501000},"page":"43705-43725","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Detection of local motion blurred\/non-blurred regions in an image"],"prefix":"10.1007","volume":"83","author":[{"given":"B R","family":"Kapuriya","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5343-4329","authenticated-orcid":false,"given":"Debasish","family":"Pradhan","sequence":"additional","affiliation":[]},{"given":"Reena","family":"Sharma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,23]]},"reference":[{"key":"17340_CR1","doi-asserted-by":"crossref","unstructured":"Chakrabarti, A Zickler, T, Freeman WT (2010) Analyzing spatially-varying blur, In: IEEE conference on computer vision and pattern recognition, pp 2512\u20132519","DOI":"10.1109\/CVPR.2010.5539954"},{"key":"17340_CR2","doi-asserted-by":"crossref","unstructured":"Bahrami, K, Kot AC, Fan J (2013) A novel approach for partial blur detection and segmentation, In: IEEE international conference on multimedia and expo, pp 1\u20136","DOI":"10.1109\/ICME.2013.6607493"},{"key":"17340_CR3","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/s00371-013-0857-6","volume":"30","author":"AA Bini","year":"2014","unstructured":"Bini AA, Bhat MS (2014) A nonlinear level set model for image deblurring and denoising. Vis Comput 30:311\u2013325","journal-title":"Vis Comput"},{"issue":"2","key":"17340_CR4","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1109\/TIP.2011.2164413","volume":"21","author":"JF Cai","year":"2012","unstructured":"Cai JF, Ji H, Liu C, Shen Z (2012) Framelet based blind motion deblurring from a single image. IEEE Trans Image Process 21(2):562\u2013572","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"17340_CR5","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1137\/080733371","volume":"2","author":"JF Cai","year":"2009","unstructured":"Cai JF, Osher S, Shen Z (2009) Linearized bregman iterations for frame-based image deblurring. SIAM J Imaging Sci 2(1):226\u2013252","journal-title":"SIAM J Imaging Sci"},{"issue":"3","key":"17340_CR6","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1109\/83.661187","volume":"7","author":"TF Chan","year":"1998","unstructured":"Chan TF, Wong CK (1998) Total variation blind deconvolution. IEEE Trans Image Process 7(3):370\u2013375","journal-title":"IEEE Trans Image Process"},{"key":"17340_CR7","doi-asserted-by":"crossref","unstructured":"Cho TS, Paris S, Horn BKP, Freeman WT (2011) Blur kernel estimation using the radon transform. In: IEEE conference on computer vision and pattern recognition, pp 241\u2013248","DOI":"10.1109\/CVPR.2011.5995479"},{"key":"17340_CR8","doi-asserted-by":"crossref","unstructured":"Couzinie-Devy F, Sun J, Alahari K, Ponce J (2013) Learning to estimate and remove non-uniform image blur, In: IEEE conference on computer vision and pattern recognition, pp 1075\u20131082","DOI":"10.1109\/CVPR.2013.143"},{"key":"17340_CR9","unstructured":"Favaro P, Soatto S (2004) A variational approach to scene reconstruction and image segmentation from motion-blur cues, In: IEEE conference on computer vision and pattern recognition"},{"key":"17340_CR10","doi-asserted-by":"crossref","unstructured":"Alirez Golestaneh S, Karam LJ (2017) Spatially varying blur detection based on multiscale fused and sorted transform coefficients of gradient magnitudes, In: IEEE conference on computer vision and pattern recognition, pp 5800\u20135809","DOI":"10.1109\/CVPR.2017.71"},{"key":"17340_CR11","unstructured":"Harmeling S, Michael H, Schoelkopf B (2010) Space-variant single-image blind deconvolution for removing camera shake. In: Proc. of neural information processing systems"},{"key":"17340_CR12","first-page":"154","volume":"285","author":"R Huang","year":"2018","unstructured":"Huang R, Feng W, Fan M, Wan L, Sun J (2018) Multiscale blur detection by learning discriminative deep features. Neuro Comput 285:154\u2013166","journal-title":"Neuro Comput"},{"key":"17340_CR13","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s00371-015-1166-z","volume":"33","author":"TA Javaran","year":"2017","unstructured":"Javaran TA, Hassanpour H, Abolghasemi V (2017) Automatic estimation and segmentation of partial blur in natural images. Vis Comput 33:151\u2013161","journal-title":"Vis Comput"},{"key":"17340_CR14","doi-asserted-by":"crossref","unstructured":"Pan J, Hu Z, Su Z, Lee H-Y,Yang M-H (2015) Soft-segmentation guided object motion Deblurring. In: IEEE conference on computer vision and pattern recognition, pp 459\u2013468","DOI":"10.1109\/CVPR.2016.56"},{"key":"17340_CR15","doi-asserted-by":"crossref","unstructured":"Ji H, Liu C (2008) Motion blur identification from image gradients, In: IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587537"},{"key":"17340_CR16","unstructured":"Ji H, Wang K (2012) A two-stage approach to blind spatially-varying motion deblurring. In: IEEE conference on computer vision and pattern recognition, pp 73\u201380"},{"key":"17340_CR17","doi-asserted-by":"crossref","unstructured":"Kalalembang E, Usman K, Gunawan IP (2009) DCT-based local motion blur detection. In: International conference on instrumentation, communication, information technology, and biomedical engineering, pp v1\u20136","DOI":"10.1109\/ICICI-BME.2009.5417252"},{"issue":"5","key":"17340_CR18","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1007\/s11760-019-01438-z","volume":"13","author":"BR Kapuriya","year":"2019","unstructured":"Kapuriya BR, Pradhan D, Sharma R (2019) Detection and restoration of multi-directional motion blurred objects. Signal Image Video Process 13(5):1001\u20131010","journal-title":"Signal Image Video Process"},{"key":"17340_CR19","doi-asserted-by":"crossref","unstructured":"Kim TH, Lee KM (2014) Segmentation-free dynamic scene deblurring. In IEEE conference on computer vision and pattern recognition, pp 2766\u20132773","DOI":"10.1109\/CVPR.2014.348"},{"issue":"7","key":"17340_CR20","first-page":"277","volume":"37","author":"B Kim","year":"2018","unstructured":"Kim B, Son H, Park S, Cho S, Lee S (2018) Defocus and motion blur detection with deep contextual features. Pacific Graphics 37(7):277\u2013288","journal-title":"Pacific Graphics"},{"key":"17340_CR21","unstructured":"Krahmer F, Lin Y, McAdoo B, Ott K, Wang J, Widemannk D et al (2006) Blind image deconvolution: Motion blur estimation. Inst Math Appl Univ Minnesota Minneapolis Minnesota Tech Rep 2133\u20135"},{"key":"17340_CR22","doi-asserted-by":"crossref","unstructured":"Levin A (2006) Blind motion deblurring using image statistics. In: Proc. of neural information processing systems, pp 841\u2013848","DOI":"10.7551\/mitpress\/7503.003.0110"},{"key":"17340_CR23","unstructured":"Liu R, Li Z, Jia J (2008) Image partial blur detection and classification. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138"},{"key":"17340_CR24","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1007\/s00371-014-0998-2","volume":"31","author":"S Liu","year":"2015","unstructured":"Liu S, Wang H, Wang J, Cho S, Pan C (2015) Automatic blur kernel size estimation for motion deblurring. Vis Comput 31:733\u2013746","journal-title":"Vis Comput"},{"issue":"10","key":"17340_CR25","doi-asserted-by":"publisher","first-page":"5155","DOI":"10.1109\/TIP.2018.2847421","volume":"27","author":"K Ma","year":"2018","unstructured":"Ma K, Fu H, Liu T, Wang Z, Tao D (2018) Deep blur mapping\u202f: Exploiting high level semantics by deep neural networks. IEEE Trans Image Process 27(10):5155\u20135166","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"17340_CR26","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TIP.2009.2031231","volume":"19","author":"Mariana S. C Almeida","year":"2010","unstructured":"Almeida Mariana S. C, Almeida Luis B (2010) Blind and semi-blind deblurring of natural images. IEEE Trans Image Process 19(1):36\u201352","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"17340_CR27","doi-asserted-by":"publisher","first-page":"2751","DOI":"10.1109\/TIP.2013.2257810","volume":"22","author":"SC Mariana","year":"2013","unstructured":"Mariana SC, Almeida M. Figueiredo, Almeida M (2013) Parameter estimation for blind and nonblind deblurring using residual whiteness measures. IEEE Trans Image Process 22(7):2751\u20132763","journal-title":"IEEE Trans Image Process"},{"key":"17340_CR28","doi-asserted-by":"crossref","unstructured":"Mignotte M (2005) An adaptive segmentation-based regularization term for image restoration. In: IEEE international conference on image processing","DOI":"10.1109\/ICIP.2005.1529897"},{"issue":"1","key":"17340_CR29","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1109\/TIP.2013.2286328","volume":"23","author":"JP Oliveira","year":"2014","unstructured":"Oliveira JP, Figueiredo MAT, Bioucas-Dias JM (2014) Parametric blur estimation for blind restoration of natural images: linear motion and out-of-focus. IEEE Trans Image Process 23(1):466\u2013477","journal-title":"IEEE Trans Image Process"},{"key":"17340_CR30","doi-asserted-by":"crossref","unstructured":"Paramanand C, Rajagopalan AN (2013) Motion blur for motion segmentation. In: IEEE international conference on image processing, pp 4244\u20134248","DOI":"10.1109\/ICIP.2013.6738874"},{"key":"17340_CR31","doi-asserted-by":"crossref","unstructured":"Sakano M, Suetake N, Uchino E (2006) Robust identification of motion blur parameters by using angles of gradient vectors, In: International symposium on intelligent signal processing and communications, pp 522\u2013525","DOI":"10.1109\/ISPACS.2006.364711"},{"key":"17340_CR32","doi-asserted-by":"crossref","unstructured":"Shi J, Xu L, Jia J (2014) Discriminative blur detection features, In: IEEE conference on computer vision and pattern recognition, pp 2965\u20132972, Blur Detection Dataset. http:\/\/www.cse.cuhk.edu.hk\/leojia\/projects\/dblurdetect","DOI":"10.1109\/CVPR.2014.379"},{"key":"17340_CR33","doi-asserted-by":"crossref","unstructured":"Su B, Lu S, Tan CL (2011) Blurred image region detection and classification. In: International conference on multimedia pp 1397\u20131400","DOI":"10.1145\/2072298.2072024"},{"key":"17340_CR34","doi-asserted-by":"crossref","unstructured":"Sun H, Desvignes M, Yan Y, Liu W (2009) Motion blur parameters identification from radon transform image gradients, In: Annual conference of IEEE industrial electronics, pp 2098\u20132103","DOI":"10.1109\/IECON.2009.5415110"},{"issue":"8","key":"17340_CR35","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1109\/TPAMI.2010.222","volume":"33","author":"YW Tai","year":"2011","unstructured":"Tai YW, Tan P, Brown MS (2011) Richardson-lucy deblurring for scenes under a projective motion path. IEEE Trans Patern Anal Mach Intell 33(8):1603\u20131618","journal-title":"IEEE Trans Patern Anal Mach Intell"},{"key":"17340_CR36","unstructured":"Kim TH, Nah S, Lee KM (2016) Dynamic Scene deblurring using a locally adaptive linear blur model. Computer Vision"},{"issue":"11","key":"17340_CR37","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1109\/LSP.2016.2611608","volume":"23","author":"C Tang","year":"2016","unstructured":"Tang C, Wu J, Hou Y, Wang P, Li W (2016) A spectral and spatial approach of coarse to fine blurred image region detection. IEEE Signal Processing Letters 23(11):1652\u20131656","journal-title":"IEEE Signal Processing Letters"},{"issue":"4","key":"17340_CR38","first-page":"1910","volume":"25","author":"R Yan","year":"2016","unstructured":"Yan R, Shao L (2016) Blind image blur estimation via deep learning. IEEE Trans Image Process 25(4):1910\u20131921","journal-title":"IEEE Trans Image Process"},{"key":"17340_CR39","doi-asserted-by":"crossref","unstructured":"Oyamada Y, Asai H, Saito H (2011) Blind deconvolution for a curved motion based on cepstral analysis. IPSJ Transactions on Computer Vision and Applications pp 32\u201343","DOI":"10.2197\/ipsjtcva.3.32"},{"issue":"3","key":"17340_CR40","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1137\/090746379","volume":"3","author":"X Zhang","year":"2010","unstructured":"Zhang X, Burger M, Bresson X, Osher S (2010) Bregmanized non local regularization for deconvolution and sparse reconstruction. SIAM J Imaging Sci 3(3):253\u2013276","journal-title":"SIAM J Imaging Sci"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17340-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-17340-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17340-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T16:40:52Z","timestamp":1730392852000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-17340-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,23]]},"references-count":40,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2024,5]]}},"alternative-id":["17340"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-17340-3","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,23]]},"assertion":[{"value":"27 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable and no human or animal subjects were involved.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"All the authors approved the final version of the paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Concent for Publication"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}