{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:51:14Z","timestamp":1761648674292,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2019,9,28]],"date-time":"2019-09-28T00:00:00Z","timestamp":1569628800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,9,28]],"date-time":"2019-09-28T00:00:00Z","timestamp":1569628800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund of China","doi-asserted-by":"crossref","award":["61371167"],"award-info":[{"award-number":["61371167"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s00034-019-01268-x","type":"journal-article","created":{"date-parts":[[2019,9,28]],"date-time":"2019-09-28T02:32:57Z","timestamp":1569637977000},"page":"2507-2532","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Morphological Component Image Restoration by Employing Bregmanized Sparse Regularization and Anisotropic Total Variation"],"prefix":"10.1007","volume":"39","author":[{"given":"Huasong","family":"Chen","sequence":"first","affiliation":[]},{"given":"Yuanyuan","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Qinghua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhenhua","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,28]]},"reference":[{"issue":"1","key":"1268_CR1","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/T-C.1974.223784","volume":"100","author":"N Ahmed","year":"1974","unstructured":"N. Ahmed, T. Natarajan, K. Rao, Discrete cosine transform. IEEE Trans. Image Comput. C-23 100(1), 90\u201393 (1974)","journal-title":"IEEE Trans. Image Comput. C-23"},{"key":"1268_CR2","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s10851-015-0617-5","volume":"55","author":"A Buades","year":"2016","unstructured":"A. Buades, J. Lisani, Directional filters for color cartoon\u2009+\u2009texture image and video decomposition. J. Math. Imaging Vis. 55, 125\u2013135 (2016)","journal-title":"J. Math. Imaging Vis."},{"issue":"2","key":"1268_CR3","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1137\/040616024","volume":"4","author":"A Buades","year":"2005","unstructured":"A. Buades, B. Coll, J. Morel, Review of image denoising algorithms with a new one. Multiscale Modeling Simul. 4(2), 490\u2013530 (2005)","journal-title":"Multiscale Modeling Simul."},{"issue":"8","key":"1268_CR4","doi-asserted-by":"publisher","first-page":"1978","DOI":"10.1109\/TIP.2010.2046605","volume":"19","author":"A Buades","year":"2010","unstructured":"A. Buades, T. Le, J.-M. Morel, L. Vese, Fast cartoon\u2009+\u2009texture image filters. IEEE Trans. Image Process. 19(8), 1978\u20131985 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"1268_CR5","first-page":"89","volume":"282","author":"J Cai","year":"2010","unstructured":"J. Cai, Z. Shen, Framelet based deconvolution. J. Comput. Math. 282, 89\u2013308 (2010)","journal-title":"J. Comput. Math."},{"issue":"2","key":"1268_CR6","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1137\/090753504","volume":"8","author":"J Cai","year":"2009","unstructured":"J. Cai, S. Osher, Z. Shen, Split Bregman method and Frame based image restoration. SIAM Multiscale Modeling Simul. 8(2), 337\u2013369 (2009)","journal-title":"SIAM Multiscale Modeling Simul."},{"key":"1268_CR7","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1007\/s00211-007-0075-0","volume":"106","author":"A Chai","year":"2007","unstructured":"A. Chai, Z. Shen, Deconvlution: a wavelet frame approach. Numerische athematik 106, 529\u2013587 (2007)","journal-title":"Numerische athematik"},{"issue":"1\u20132","key":"1268_CR8","first-page":"89","volume":"20","author":"A Chambolle","year":"2004","unstructured":"A. Chambolle, An algorithm for total variation minimization and applications. J. Math. Imag. Vision 20(1\u20132), 89\u201397 (2004)","journal-title":"J. Math. Imag. Vision"},{"issue":"5","key":"1268_CR9","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1137\/040604297","volume":"65","author":"T Chan","year":"2005","unstructured":"T. Chan, S. Esedoglu, Aspects of total variation regularized L1 function approximation. SIAM J. Appl. Math. 65(5), 1817\u20131837 (2005)","journal-title":"SIAM J. Appl. Math."},{"key":"1268_CR10","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0024-3795(00)00141-5","volume":"316","author":"T Chan","year":"2000","unstructured":"T. Chan, C. Wong, Convergence of the alternating minimization algorithm for blind deconvolution. Linear Algebra Appl. 316, 259\u2013285 (2000)","journal-title":"Linear Algebra Appl."},{"key":"1268_CR11","volume-title":"Mathematical Models of Computer Vision","author":"T Chan","year":"2005","unstructured":"T. Chan, S. Esedoglu, F. Park, A. Yip, et al., Recent developments in total variation image restoration, in Mathematical Models of Computer Vision, ed. by Nagy, J (Springer: New York, 2005)"},{"key":"1268_CR12","first-page":"1","volume":"92732Q","author":"H Chen","year":"2014","unstructured":"H. Chen, K. Yan, J. Zhang, Z. Li, Simultaneous cartoon plus texture image decomposition by using variational image decomposition. Proc. SPIE 92732Q, 1\u20137 (2014)","journal-title":"Proc. SPIE"},{"key":"1268_CR13","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.jvcir.2015.07.004","volume":"R31","author":"H Chen","year":"2015","unstructured":"H. Chen, C. Wang, Y. Song, Z. Li, Split Bregmanized anisotropic total variation model for image deblurring. J. Vis. Commun. Image Represent. R31, 282\u2013293 (2015)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"6","key":"1268_CR14","first-page":"1206","volume":"26","author":"H Chen","year":"2015","unstructured":"H. Chen, Y. Song, Z. Zhang, Z. Li, Motion blind deblurring method by using anisotropic total variation. J. Optoelectron\u0387Laser 26(6), 1206\u20131214 (2015)","journal-title":"J. Optoelectron\u0387Laser"},{"issue":"11","key":"1268_CR15","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1049\/iet-ipr.2015.0734","volume":"10","author":"H Chen","year":"2016","unstructured":"H. Chen, Q. Wang, C. Wang, Z. Li, Image decomposition based blind image deconvolution model by employing sparse representation. IET Image Proc. 10(11), 908\u2013925 (2016)","journal-title":"IET Image Proc."},{"key":"1268_CR16","first-page":"1","volume":"1002012","author":"H Chen","year":"2016","unstructured":"H. Chen, X. Qu, Q. Wang, Z. Li, A cartoon-texture decomposition based image deblurring model by using framelet based sparse representation. Proc. SPIE 1002012, 1\u201313 (2016)","journal-title":"Proc. SPIE"},{"issue":"3","key":"1268_CR17","doi-asserted-by":"publisher","first-page":"591","DOI":"10.3934\/ipi.2011.5.591","volume":"5","author":"R Choksi","year":"2011","unstructured":"R. Choksi, Y. Gennipy, A. Obermanz, Anisotropic total variation regularized L1 approximation and denoising\/deblurring of 2D bar codes. Inverse Problem Imaging 5(3), 591\u2013617 (2011)","journal-title":"Inverse Problem Imaging"},{"key":"1268_CR18","doi-asserted-by":"publisher","first-page":"681207","DOI":"10.1117\/12.766355","volume":"6812","author":"K Dabov","year":"2008","unstructured":"K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, Image restoration by sparse 3D transform-domain collaborative filtering. Proc. SPIE 6812, 681207 (2008)","journal-title":"Proc. SPIE"},{"key":"1268_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S1063-5203(02)00511-0","volume":"14","author":"I Daubechies","year":"2003","unstructured":"I. Daubechies, B. Han, A. Ron, Z. Shen, Framelets: MRA-based constructions of wavelet frames. Appl. Comput. Harmon. Anal. 14, 1\u201346 (2003)","journal-title":"Appl. Comput. Harmon. Anal."},{"issue":"12","key":"1268_CR20","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1002\/cpa.20045","volume":"57","author":"S Esedo\u1e21lu","year":"2004","unstructured":"S. Esedo\u1e21lu, S. Osher, Decomposition of images by the anisotropic Rudin-Osher-Fatemi model. Commun. Pure Appl. Math. 57(12), 1609\u20131626 (2004). \nhttps:\/\/doi.org\/10.1002\/cpa.20045","journal-title":"Commun. Pure Appl. Math."},{"issue":"3","key":"1268_CR21","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1137\/070698592","volume":"7","author":"G Gilboa","year":"2008","unstructured":"G. Gilboa, S. Osher, Nonlocal operators with applications to image processing. Multiscale Modeling Simul. 7(3), 1005\u20131028 (2008)","journal-title":"Multiscale Modeling Simul."},{"issue":"2","key":"1268_CR22","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1137\/080725891","volume":"2","author":"T Goldstein","year":"2009","unstructured":"T. Goldstein, S. Osher, The split Bregman method for L1 regularized problems. SIAM J. IMAGING SCIENCES 2(2), 323\u2013343 (2009)","journal-title":"SIAM J. IMAGING SCIENCES"},{"key":"1268_CR23","volume-title":"Oscillating patterns in image processing and nonlinear evolution equations, University Lecture series, 22","author":"Y Meyer","year":"2002","unstructured":"Y. Meyer, Oscillating patterns in image processing and nonlinear evolution equations, University Lecture series, 22 (American Mathematical Society, Providence, 2002)"},{"issue":"6","key":"1268_CR24","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1109\/TIP.2013.2246520","volume":"22","author":"M Ng","year":"2013","unstructured":"M. Ng, X. Yuan, W. Zhang, Coupled variational image decomposition model for blurred cartoon and texture images with missing pixels. IEEE Trans. Image Process. 22(6), 2233\u20132246 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"1268_CR25","doi-asserted-by":"publisher","first-page":"1683","DOI":"10.1016\/j.sigpro.2009.03.018","volume":"89","author":"JP Oliveria","year":"2009","unstructured":"J.P. Oliveria, J.M. Bioucas-Dias, M. Figueiredo, Adaptive total variation image deblurring: a majorization-minimization approach. Sig. Process. 89, 1683\u20131693 (2009)","journal-title":"Sig. Process."},{"key":"1268_CR26","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1146\/annurev.astro.43.112904.104850","volume":"43","author":"R Puetter","year":"2005","unstructured":"R. Puetter, T. Gosnell, A. Yahil, Digital image reconstruction: deblurring and Denoising. Astronomy and astrophysics review 43, 139\u2013194 (2005)","journal-title":"Astronomy and astrophysics review"},{"key":"1268_CR27","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1006\/jfan.1996.3079","volume":"148","author":"A Ron","year":"1997","unstructured":"A. Ron, Z. Shen, Affine systems in L2(Rd): the analysis of the analysis operator. J. Funct. Anal. 148, 408\u2013447 (1997)","journal-title":"J. Funct. Anal."},{"key":"1268_CR28","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"L.I. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms. Physics D: Nonlinear Phenomena 60, 259\u2013268 (1992)","journal-title":"Physics D: Nonlinear Phenomena"},{"issue":"10","key":"1268_CR29","doi-asserted-by":"publisher","first-page":"1570","DOI":"10.1109\/TIP.2005.852206","volume":"14","author":"J-L Starck","year":"2005","unstructured":"J.-L. Starck, M. Elad, D. Donoho, Image decomposition via the combination of sparse representation and a variational approach. IEEE Trans. Image Process. 14(10), 1570\u20131582 (2005)","journal-title":"IEEE Trans. Image Process."},{"key":"1268_CR30","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.sigpro.2013.07.005","volume":"94","author":"S Tang","year":"2014","unstructured":"S. Tang, W. Gong, W. Li, W. Wang, Non-blind image deblurring method by local and nonlocal total variation models. Sig. Process. 94, 339\u2013349 (2014)","journal-title":"Sig. Process."},{"issue":"4","key":"1268_CR31","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Z. Wang, A. Bovik, H. Sheikh, E. Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"1268_CR32","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1137\/080724265","volume":"1","author":"Y Wang","year":"2008","unstructured":"Y. Wang, J. Yang, W. Yin, Y. Zhang et al., A new alternating minimization algorithm for total variation image reconstruction. SIAM Journal of Imaging Sciences 1(3), 248\u2013272 (2008)","journal-title":"SIAM Journal of Imaging Sciences"},{"issue":"16","key":"1268_CR33","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1049\/el.2011.1409","volume":"47","author":"S Wang","year":"2011","unstructured":"S. Wang, Z. Liu, W. Dong, L. Jiao, Q. Tang, Total variation based image deblurring with nonlocal self-similarity constraint. Electron. Lett. 47(16), 916\u2013918 (2011)","journal-title":"Electron. Lett."},{"issue":"3","key":"1268_CR34","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1137\/090767558","volume":"3","author":"C Wu","year":"2012","unstructured":"C. Wu, X.C. Tai, Augmented Lagrangian method, dual methods, and split Bregman iteration for ROF, Vectorial TV, and high order models. Siam Journal on Imaging Sciences 3(3), 300\u2013339 (2012)","journal-title":"Siam Journal on Imaging Sciences"},{"issue":"3","key":"1268_CR35","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1137\/090746379","volume":"3","author":"X Zhang","year":"2010","unstructured":"X. Zhang, M. Burger, X. Bresson, S. Osher, Bregmanized nonlocal regularization for deconvolution and sparse reconstruction. SIAM Journal of Imaging Sciences 3(3), 253\u2013276 (2010)","journal-title":"SIAM Journal of Imaging Sciences"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01268-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00034-019-01268-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01268-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T23:33:35Z","timestamp":1601163215000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00034-019-01268-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,28]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["1268"],"URL":"https:\/\/doi.org\/10.1007\/s00034-019-01268-x","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2019,9,28]]},"assertion":[{"value":"13 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 September 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}