{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T07:11:13Z","timestamp":1719126673988},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T00:00:00Z","timestamp":1556496000000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s11042-019-7625-1","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T19:40:11Z","timestamp":1556566811000},"page":"23117-23140","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A mixed noise removal algorithm based on multi-fidelity modeling with nonsmooth and nonconvex regularization"],"prefix":"10.1007","volume":"78","author":[{"given":"Chun","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuepeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhicheng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longlong","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ze","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,29]]},"reference":[{"issue":"4","key":"7625_CR1","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1109\/78.564179","volume":"45","author":"S Alliney","year":"1997","unstructured":"Alliney S (1997) A property of the minimum vectors of a regularizing functional defined by means of the absolute norm. IEEE Trans Signal Process 45(4):913\u2013917","journal-title":"IEEE Trans Signal Process"},{"key":"7625_CR2","doi-asserted-by":"crossref","unstructured":"Aubert G, Kornprobst P (2006) Mathematical problems in image processing: partial differential equations and the calculus of variations, vol. 147. Springer Science & Business Media","DOI":"10.1007\/978-0-387-44588-5"},{"issue":"4","key":"7625_CR3","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1137\/060671814","volume":"68","author":"G Aubert","year":"2008","unstructured":"Aubert G, Aujol J-F (2008) A variational approach to removing multiplicative noise. SIAM J Appl Math 68(4):925\u2013946","journal-title":"SIAM J Appl Math"},{"key":"7625_CR4","doi-asserted-by":"crossref","unstructured":"Bar L, Chan TF, Chung G, Jung M, Kiryati N, Mohieddine R, Sochen N, Vese LA (2011) Mumford and shah model and its applications to image segmentation andimage restoration. In: Handbook of mathematical methods in imaging. Springer, pp 1095\u20131157","DOI":"10.1007\/978-0-387-92920-0_25"},{"key":"7625_CR5","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7132.001.0001","volume-title":"Visual reconstruction","author":"A Blake","year":"1987","unstructured":"Blake A, Zisserman A (1987) Visual reconstruction. MIT Press, Cambridge"},{"key":"7625_CR6","volume-title":"Handbook of image and video processing","author":"AC Bovik","year":"2010","unstructured":"Bovik AC (2010) Handbook of image and video processing. Academic, New York"},{"issue":"1","key":"7625_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd S, Parikh N, Chu E, Peleato B, Eckstein J et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends\u00ae; Machine Learn 3(1):1\u2013 122","journal-title":"Found Trends\u00ae; Machine Learn"},{"key":"7625_CR8","doi-asserted-by":"crossref","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. IEEE, pp 60\u201365","DOI":"10.1109\/CVPR.2005.38"},{"issue":"2","key":"7625_CR9","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1137\/040616024","volume":"4","author":"A Buades","year":"2005","unstructured":"Buades A, Coll B, Morel J-M (2005) A review of image denoising algorithms, with a new one. Multiscale Model Simul 4(2):490\u2013530","journal-title":"Multiscale Model Simul"},{"key":"7625_CR10","doi-asserted-by":"crossref","unstructured":"Burger HC, Schuler CJ, Harmeling S (2012) Image denoising: can plain neural networks compete with bm3d?. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 2392\u20132399","DOI":"10.1109\/CVPR.2012.6247952"},{"issue":"2","key":"7625_CR11","doi-asserted-by":"publisher","first-page":"187","DOI":"10.3934\/ipi.2008.2.187","volume":"2","author":"J-F Cai","year":"2008","unstructured":"Cai J-F, Chan RH, Nikolova M (2008) Two-phase approach for deblurring images corrupted by impulse plus gaussian noise. Inverse Probl Imaging 2(2):187\u2013204","journal-title":"Inverse Probl Imaging"},{"issue":"1","key":"7625_CR12","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1137\/120867068","volume":"6","author":"X Cai","year":"2013","unstructured":"Cai X, Chan R, Zeng T (2013) A two-stage image segmentation method using a convex variant of the mumford\u2013shah model and thresholding. SIAM J Imag Sci 6(1):368\u2013390","journal-title":"SIAM J Imag Sci"},{"issue":"5","key":"7625_CR13","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1137\/040604297","volume":"65","author":"TF Chan","year":"2005","unstructured":"Chan TF, Esedoglu S (2005) Aspects of total variation regularized l 1 function approximation. J SIAM Appl Math 65(5):1817\u20131837","journal-title":"J SIAM Appl Math"},{"issue":"2","key":"7625_CR14","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1109\/83.551699","volume":"6","author":"P Charbonnier","year":"1997","unstructured":"Charbonnier P, Blanc-F\u00e9raud L, Aubert G, Barlaud M (1997) Deterministic edge-preserving regularization in computed imaging. IEEE Trans Image Process 6 (2):298\u2013311","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR15","doi-asserted-by":"crossref","unstructured":"Chartrand R, Yin W (2008) Iterative reweighted algorithms for compressive sensing. Tech. Rep.","DOI":"10.1109\/ICASSP.2008.4518498"},{"issue":"6","key":"7625_CR16","doi-asserted-by":"publisher","first-page":"1256","DOI":"10.1109\/TPAMI.2016.2596743","volume":"39","author":"Y Chen","year":"2017","unstructured":"Chen Y, Pock T (2017) Trainable nonlinear reaction diffusion: a flexible framework for fast and effective image restoration. IEEE Trans Pattern Anal Mach Intell 39 (6):1256\u20131272","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7625_CR17","doi-asserted-by":"crossref","unstructured":"Chen Y, Yu W, Pock T (2015) On learning optimized reaction diffusion processes for effective image restoration. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5261\u20135269","DOI":"10.1109\/CVPR.2015.7299163"},{"issue":"8","key":"7625_CR18","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-d transform-domain collaborative filtering. IEEE Trans Image Process 16(8):2080\u20132095","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"7625_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/cpa.20303","volume":"63","author":"I Daubechies","year":"2010","unstructured":"Daubechies I, DeVore R, Fornasier M, G\u00fcnt\u00fcrk CS (2010) Iteratively reweighted least squares minimization for sparse recovery. Commun Pure Appl Math: A Journal Issued by the Courant Institute of Mathematical Sciences 63(1):1\u201338","journal-title":"Commun Pure Appl Math: A Journal Issued by the Courant Institute of Mathematical Sciences"},{"key":"7625_CR20","doi-asserted-by":"publisher","first-page":"62120","DOI":"10.1109\/ACCESS.2018.2876038","volume":"6","author":"L Deng","year":"2018","unstructured":"Deng L, Zhu H, Li Y, Yang Z (2018) A low-rank tensor model for hyperspectral image sparse noise removal. IEEE Access 6:62120\u201362127","journal-title":"IEEE Access"},{"key":"7625_CR21","doi-asserted-by":"crossref","unstructured":"Dong W, Li X, Zhang L, Shi G (2011) Sparsity-based image denoising via dictionary learning and structural clustering. In: 2011 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 457\u2013464","DOI":"10.1109\/CVPR.2011.5995478"},{"issue":"2","key":"7625_CR22","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1109\/TIP.2012.2221729","volume":"22","author":"W Dong","year":"2013","unstructured":"Dong W, Shi G, Li X (2013) Nonlocal image restoration with bilateral variance estimation: a low-rank approach. IEEE Trans Image Process 22(2):700\u2013711","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"7625_CR23","doi-asserted-by":"publisher","first-page":"1620","DOI":"10.1109\/TIP.2012.2235847","volume":"22","author":"W Dong","year":"2013","unstructured":"Dong W, Zhang L, Shi G, Li X (2013) Nonlocally centralized sparse representation for image restoration. IEEE Trans Image Process 22(4):1620\u20131630","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"7625_CR24","doi-asserted-by":"publisher","first-page":"3618","DOI":"10.1109\/TIP.2014.2329449","volume":"23","author":"W Dong","year":"2014","unstructured":"Dong W, Shi G, Li X, Ma Y, Huang F (2014) Compressive sensing via nonlocal low-rank regularization. IEEE Trans Image Process 23(8):3618\u20133632","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"7625_CR25","doi-asserted-by":"publisher","first-page":"3736","DOI":"10.1109\/TIP.2006.881969","volume":"15","author":"M Elad","year":"2006","unstructured":"Elad M, Aharon M (2006) Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans Image Process 15(12):3736\u20133745","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR26","first-page":"31","volume":"9","author":"E Esser","year":"2009","unstructured":"Esser E (2009) Applications of lagrangian-based alternating direction methods and connections to split bregman. CAM Report 9:31","journal-title":"CAM Report"},{"issue":"6","key":"7625_CR27","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1109\/TCYB.2017.2713421","volume":"48","author":"W Feng","year":"2018","unstructured":"Feng W, Qiao P, Chen Y (2018) Fast and accurate poisson denoising with trainable nonlinear diffusion. IEEE Trans Cybern 48(6):1708\u20131719","journal-title":"IEEE Trans Cybern"},{"issue":"12","key":"7625_CR28","doi-asserted-by":"publisher","first-page":"3133","DOI":"10.1109\/TIP.2010.2053941","volume":"19","author":"MA Figueiredo","year":"2010","unstructured":"Figueiredo MA, Bioucas-Dias JM (2010) Restoration of poissonian images using alternating direction optimization. IEEE Trans Image Process 19(12):3133\u20133145","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"7625_CR29","doi-asserted-by":"publisher","first-page":"1747","DOI":"10.1109\/TIP.2005.857261","volume":"14","author":"R Garnett","year":"2005","unstructured":"Garnett R, Huegerich T, Chui C, He W (2005) A universal noise removal algorithm with an impulse detector. IEEE Trans Image Process 14(11):1747\u20131754","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR30","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","volume":"6","author":"S Geman","year":"1984","unstructured":"Geman S, Geman D (1984) Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell 6:721\u2013741","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7625_CR31","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1109\/34.120331","volume":"3","author":"D Geman","year":"1992","unstructured":"Geman D, Reynolds G (1992) Constrained restoration and the recovery of discontinuities. IEEE Trans Pattern Anal Mach Intell 3:367\u2013383","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"7625_CR32","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1109\/83.392335","volume":"4","author":"D Geman","year":"1995","unstructured":"Geman D, Yang C (1995) Nonlinear image recovery with half-quadratic regularization. IEEE Trans Image Process 4(7):932\u2013946","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"7625_CR33","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1137\/080725891","volume":"2","author":"T Goldstein","year":"2009","unstructured":"Goldstein T, Osher S (2009) The split bregman method for l1-regularized problems. SIAM J Imag Sci 2(2):323\u2013343","journal-title":"SIAM J Imag Sci"},{"key":"7625_CR34","doi-asserted-by":"crossref","unstructured":"Gu S, Zhang L, Zuo W, Feng X (2014) Weighted nuclear norm minimization with application to image denoising. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2862\u20132869","DOI":"10.1109\/CVPR.2014.366"},{"issue":"3","key":"7625_CR35","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1016\/j.patcog.2012.10.010","volume":"46","author":"Y Han","year":"2013","unstructured":"Han Y, Feng X-C, Baciu G, Wang W-W (2013) Nonconvex sparse regularizer based speckle noise removal. Pattern Recognit 46(3):989\u20131001","journal-title":"Pattern Recognit"},{"issue":"1","key":"7625_CR36","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s101070100280","volume":"92","author":"B He","year":"2002","unstructured":"He B, Liao L-Z, Han D, Yang H (2002) A new inexact alternating directions method for monotone variational inequalities. Math Program 92(1):103\u2013118","journal-title":"Math Program"},{"key":"7625_CR37","doi-asserted-by":"publisher","first-page":"32850","DOI":"10.1109\/ACCESS.2018.2845855","volume":"6","author":"K He","year":"2018","unstructured":"He K, Wang R, Tao D, Cheng J, Liu W (2018) Color transfer pulse-coupled neural networks for underwater robotic visual systems. IEEE Access 6:32850\u201332860","journal-title":"IEEE Access"},{"key":"7625_CR38","unstructured":"Hinterm\u00fcller M, Langer A (2012) Subspace correction methods for a class of non-smooth and non-additive convex variational problems in image processing"},{"issue":"7","key":"7625_CR39","doi-asserted-by":"publisher","first-page":"3171","DOI":"10.1109\/TIP.2017.2676466","volume":"26","author":"T Huang","year":"2017","unstructured":"Huang T, Dong W, Xie X, Shi G, Bai X (2017) Mixed noise removal via laplacian scale mixture modeling and nonlocal low-rank approximation. IEEE Trans Image Process 26(7):3171\u20133186","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR40","unstructured":"Jain V, Seung S (2009) Natural image denoising with convolutional networks. In: Advances in neural information processing systems, pp 769\u2013776"},{"issue":"4","key":"7625_CR41","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1137\/100817206","volume":"4","author":"H Ji","year":"2011","unstructured":"Ji H, Huang S, Shen Z, Xu Y (2011) Robust video restoration by joint sparse and low rank matrix approximation. SIAM J Imag Sci 4(4):1122\u20131142","journal-title":"SIAM J Imag Sci"},{"key":"7625_CR42","doi-asserted-by":"crossref","unstructured":"Ji H, Liu C, Shen Z, Xu Y (2010) Robust video denoising using low rank matrix completion","DOI":"10.1109\/CVPR.2010.5539849"},{"key":"7625_CR43","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.jvcir.2016.03.022","volume":"38","author":"T Jia","year":"2016","unstructured":"Jia T, Shi Y, Zhu Y, Wang L (2016) An image restoration model combining mixed L1\/L2 fidelity terms. J Vis Commun Image Represent 38:461\u2013473","journal-title":"J Vis Commun Image Represent"},{"issue":"6","key":"7625_CR44","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1109\/TIP.2014.2317985","volume":"23","author":"J Jiang","year":"2014","unstructured":"Jiang J, Zhang L, Yang J (2014) Mixed noise removal by weighted encoding with sparse nonlocal regularization. IEEE Trans Image Process 23(6):2651\u20132662","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"7625_CR45","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1007\/s10915-014-9860-y","volume":"62","author":"M Jung","year":"2015","unstructured":"Jung M, Kang M (2015) Efficient nonsmooth nonconvex optimization for image restoration and segmentation. J Sci Comput 62(2):336\u2013370","journal-title":"J Sci Comput"},{"key":"7625_CR46","unstructured":"Li SZ (1994) Markov random field models in computer vision. In: European conference on computer vision. Springer, pp 361\u2013370"},{"issue":"3","key":"7625_CR47","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TCYB.2016.2521428","volume":"47","author":"L Liu","year":"2017","unstructured":"Liu L, Chen L, Chen CP, Tang YY et al (2017) Weighted joint sparse representation for removing mixed noise in image. IEEE Trans Cybern 47(3):600\u2013611","journal-title":"IEEE Trans Cybern"},{"key":"7625_CR48","doi-asserted-by":"crossref","unstructured":"Mairal J, Bach F, Ponce J, Sapiro G, Zisserman A (2009) Non-local sparse models for image restoration. In: 2009 IEEE 12th international conference on computer vision. IEEE, pp 2272\u20132279","DOI":"10.1109\/ICCV.2009.5459452"},{"issue":"5","key":"7625_CR49","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D Mumford","year":"1989","unstructured":"Mumford D, Shah J (1989) Optimal approximations by piecewise smooth functions and associated variational problems. Commun Pure Appl Math 42(5):577\u2013685","journal-title":"Commun Pure Appl Math"},{"issue":"9","key":"7625_CR50","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1109\/83.784433","volume":"8","author":"M Nikolova","year":"1999","unstructured":"Nikolova M (1999) Markovian reconstruction using a gnc approach. IEEE Trans Image Process 8(9):1204\u20131220","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"7625_CR51","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1137\/S0036142901389165","volume":"40","author":"M Nikolova","year":"2002","unstructured":"Nikolova M (2002) Minimizers of cost-functions involving nonsmooth data-fidelity terms. application to the processing of outliers. SIAM J Numer Anal 40(3):965\u2013994","journal-title":"SIAM J Numer Anal"},{"issue":"1\u20132","key":"7625_CR52","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/B:JMIV.0000011920.58935.9c","volume":"20","author":"M Nikolova","year":"2004","unstructured":"Nikolova M (2004) A variational approach to remove outliers and impulse noise. J Math Imaging Vision 20(1\u20132):99\u2013120","journal-title":"J Math Imaging Vision"},{"issue":"3","key":"7625_CR53","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1137\/040619582","volume":"4","author":"M Nikolova","year":"2005","unstructured":"Nikolova M (2005) Analysis of the recovery of edges in images and signals by minimizing nonconvex regularized least-squares. Multiscale Model Simul 4(3):960\u2013991","journal-title":"Multiscale Model Simul"},{"issue":"6","key":"7625_CR54","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1109\/TIP.2007.896622","volume":"16","author":"M Nikolova","year":"2007","unstructured":"Nikolova M, Chan RH (2007) The equivalence of half-quadratic minimization and the gradient linearization iteration. IEEE Trans Image Process 16(6):1623\u20131627","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"7625_CR55","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1137\/070692285","volume":"1","author":"M Nikolova","year":"2008","unstructured":"Nikolova M, Ng MK, Zhang S, Ching W-K (2008) Efficient reconstruction of piecewise constant images using nonsmooth nonconvex minimization. SIAM J Imag Sci 1(1):2\u201325","journal-title":"SIAM J Imag Sci"},{"issue":"12","key":"7625_CR56","doi-asserted-by":"publisher","first-page":"3073","DOI":"10.1109\/TIP.2010.2052275","volume":"19","author":"M Nikolova","year":"2010","unstructured":"Nikolova M, Ng MK, Tam C-P (2010) Fast nonconvex nonsmooth minimization methods for image restoration and reconstruction. IEEE Trans Image Process 19 (12):3073\u20133088","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR57","doi-asserted-by":"crossref","unstructured":"Ochs P, Dosovitskiy A, Brox T, Pock T (2013) An iterated l1 algorithm for non-smooth non-convex optimization in computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1759\u20131766","DOI":"10.1109\/CVPR.2013.230"},{"issue":"4","key":"7625_CR58","doi-asserted-by":"publisher","first-page":"1669","DOI":"10.1137\/16M1058686","volume":"10","author":"S Osher","year":"2017","unstructured":"Osher S, Shi Z, Zhu W (2017) Low dimensional manifold model for image processing. SIAM J Imag Sci 10(4):1669\u20131690","journal-title":"SIAM J Imag Sci"},{"issue":"10","key":"7625_CR59","doi-asserted-by":"publisher","first-page":"2576","DOI":"10.1109\/TIP.2007.904975","volume":"16","author":"MC Robini","year":"2007","unstructured":"Robini MC, Lachal A, Magnin IE (2007) A stochastic continuation approach to piecewise constant reconstruction. IEEE Trans Image Process 16(10):2576\u20132589","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR60","doi-asserted-by":"crossref","unstructured":"Rockafellar R (1997) Convex analysis, Princeton University Press, Princeton, 1970. MATH Google Scholar","DOI":"10.1515\/9781400873173"},{"issue":"2","key":"7625_CR61","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s11263-008-0197-6","volume":"82","author":"S Roth","year":"2009","unstructured":"Roth S, Black MJ (2009) Fields of experts. Int J Comput Vis 82(2):205\u2013229","journal-title":"Int J Comput Vis"},{"issue":"1\u20134","key":"7625_CR62","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"Rudin LI, Osher S, Fatemi E (1992) Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena 60(1\u20134):259\u2013268","journal-title":"Physica D: Nonlinear Phenomena"},{"issue":"7","key":"7625_CR63","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1109\/TCYB.2013.2278548","volume":"44","author":"L Shao","year":"2014","unstructured":"Shao L, Yan R, Li X, Liu Y (2014) From heuristic optimization to dictionary learning: a review and comprehensive comparison of image denoising algorithms. IEEE Trans Cybern 44(7):1001\u20131013","journal-title":"IEEE Trans Cybern"},{"issue":"6","key":"7625_CR64","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1109\/TNNLS.2015.2461554","volume":"27","author":"D Tao","year":"2016","unstructured":"Tao D, Cheng J, Song M, Lin X (2016) Manifold ranking-based matrix factorization for saliency detection. IEEE Trans Neural Netw Learn Syst 27(6):1122\u20131134","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"7625_CR65","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1109\/83.661189","volume":"7","author":"S Teboul","year":"1998","unstructured":"Teboul S, Blanc-Feraud L, Aubert G, Barlaud M (1998) Variational approach for edge-preserving regularization using coupled pdes. IEEE Trans Image Process 7(3):387\u2013397","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"7625_CR66","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1109\/83.679423","volume":"7","author":"CR Vogel","year":"1998","unstructured":"Vogel CR, Oman ME (1998) Fast, robust total variation-based reconstruction of noisy, blurred images. IEEE Trans Image Process 7(6):813\u2013824","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"7625_CR67","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1137\/080724265","volume":"1","author":"Y Wang","year":"2008","unstructured":"Wang Y, Yang J, Yin W, Zhang Y (2008) A new alternating minimization algorithm for total variation image reconstruction. SIAM J Imag Sci 1(3):248\u2013272","journal-title":"SIAM J Imag Sci"},{"issue":"8","key":"7625_CR68","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1016\/j.patcog.2011.02.002","volume":"44","author":"Y Xiao","year":"2011","unstructured":"Xiao Y, Zeng T, Yu J, Ng MK (2011) Restoration of images corrupted by mixed gaussian-impulse noise via l1\u2013l0 minimization. Pattern Recognit 44(8):1708\u20131720","journal-title":"Pattern Recognit"},{"key":"7625_CR69","unstructured":"Xie J, Xu L, Chen E (2012) Image denoising and inpainting with deep neural networks. In: Advances in neural information processing systems, pp 341\u2013349"},{"issue":"3","key":"7625_CR70","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1137\/12087178X","volume":"6","author":"M Yan","year":"2013","unstructured":"Yan M (2013) Restoration of images corrupted by impulse noise and mixed gaussian impulse noise using blind inpainting. SIAM J Imag Sci 6(3):1227\u20131245","journal-title":"SIAM J Imag Sci"},{"issue":"12","key":"7625_CR71","doi-asserted-by":"publisher","first-page":"4689","DOI":"10.1109\/TIP.2013.2277813","volume":"22","author":"R Yan","year":"2013","unstructured":"Yan R, Shao L, Liu Y (2013) Nonlocal hierarchical dictionary learning using wavelets for image denoising. IEEE Trans Image Process 22(12):4689\u20134698","journal-title":"IEEE Trans Image Process"},{"key":"7625_CR72","first-page":"1081","volume":"11","author":"T Zhang","year":"2010","unstructured":"Zhang T (2010) Analysis of multi-stage convex relaxation for sparse regularization. J Mach Learn Res 11:1081\u20131107","journal-title":"J Mach Learn Res"},{"issue":"3","key":"7625_CR73","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/s10915-011-9533-z","volume":"50","author":"X Zhang","year":"2012","unstructured":"Zhang X, Lu Y, Chan T (2012) A novel sparsity reconstruction method from poisson data for 3d bioluminescence tomography. J Sci Comput 50(3):519\u2013535","journal-title":"J Sci Comput"},{"issue":"3","key":"7625_CR74","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1109\/TSMCB.2012.2222375","volume":"43","author":"H Zhang","year":"2013","unstructured":"Zhang H, Yang J, Zhang Y, Huang TS (2013) Image and video restorations via nonlocal kernel regression. IEEE Trans Cybern 43(3):1035\u20131046","journal-title":"IEEE Trans Cybern"},{"issue":"7","key":"7625_CR75","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a gaussian denoiser: residual learning of deep cnn for image denoising. IEEE Trans Image Process 26(7):3142\u20133155","journal-title":"IEEE Trans Image Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7625-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7625-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7625-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T23:09:21Z","timestamp":1588028961000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7625-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,29]]},"references-count":75,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["7625"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7625-1","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,29]]},"assertion":[{"value":"30 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}