{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:26:58Z","timestamp":1740122818735,"version":"3.37.3"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T00:00:00Z","timestamp":1606348800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T00:00:00Z","timestamp":1606348800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61402166"],"award-info":[{"award-number":["61402166"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Fund of Hunan Provincial Education Department","award":["19B215"],"award-info":[{"award-number":["19B215"]}]},{"DOI":"10.13039\/501100004735","name":"Hunan Provincial Natural Science Foundation of China","doi-asserted-by":"crossref","award":["2020JJ4285"],"award-info":[{"award-number":["2020JJ4285"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s11042-020-09561-7","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T17:02:52Z","timestamp":1606410172000},"page":"10601-10614","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Proximal alternating minimization method for adaptive TGV-based image restoration"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1909-3721","authenticated-orcid":false,"given":"Xinwu","family":"Liu","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,26]]},"reference":[{"issue":"1","key":"9561_CR1","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/s11045-018-0567-3","volume":"30","author":"T Adam","year":"2019","unstructured":"Adam T, Paramesran R (2019) Image denoising using combined higher order non-convex total variation with overlapping group sparsity. Multidim Syst Sign Process 30(1):503\u2013527","journal-title":"Multidim Syst Sign Process"},{"issue":"3","key":"9561_CR2","doi-asserted-by":"publisher","first-page":"3649","DOI":"10.1007\/s11042-017-5537-5","volume":"78","author":"MA Alsmirat","year":"2019","unstructured":"Alsmirat MA, Al-Alem F, Al-Ayyoub M, Jararweh Y, Gupta B (2019) Impact of digital fingerprint image quality on the fingerprint recognition accuracy. Multimed Tools Appl 78(3):3649\u20133688","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"9561_CR3","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1109\/TIP.2007.916051","volume":"17","author":"SD Babacan","year":"2008","unstructured":"Babacan SD, Molina R, Katsaggelos AK (2008) Parameter estimation in TV image restoration using variational distribution approximation. IEEE Trans Image Process 17(3):326\u2013339","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"9561_CR4","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/TIP.2008.2007354","volume":"18","author":"SD Babacan","year":"2009","unstructured":"Babacan SD, Molina R, Katsaggelos AK (2009) Variational Bayesian blind deconvolution using a total variation prior. IEEE Trans Image Process 18 (1):12\u201326","journal-title":"IEEE Trans Image Process"},{"key":"9561_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9467-7","volume-title":"Convex analysis and monotone operator theory in Hilbert space","author":"HH Bauschke","year":"2011","unstructured":"Bauschke HH, Combettes PL (2011) Convex analysis and monotone operator theory in Hilbert space. Springer, New York"},{"issue":"3","key":"9561_CR6","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1137\/090769521","volume":"3","author":"K Bredies","year":"2010","unstructured":"Bredies K, Kunisch K, Pock T (2010) Total generalized variation. SIAM J Imaging Sci 3(3):492\u2013526","journal-title":"SIAM J Imaging Sci"},{"issue":"1","key":"9561_CR7","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1080\/00207160.2012.700400","volume":"90","author":"K Bredies","year":"2013","unstructured":"Bredies K, Dong Y, Hinterm\u00fcller M (2013) Spatially dependent regularization parameter selection in total generalized variation models for image restoration. Int J Comput Math 90(1):109\u2013123","journal-title":"Int J Comput Math"},{"issue":"2","key":"9561_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1137\/090753504","volume":"8","author":"JF Cai","year":"2010","unstructured":"Cai JF, Osher S, Shen Z (2010) Split Bregman methods and frame based image restoration. Multiscale Model Simul 8(2):337\u2013369","journal-title":"Multiscale Model Simul"},{"issue":"2","key":"9561_CR9","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1137\/S1064827598344169","volume":"22","author":"T Chan","year":"2000","unstructured":"Chan T, Marquina A, Mulet P (2000) High-order total variation-based image restoration. SIAM J Sci Comput 22(2):503\u2013516","journal-title":"SIAM J Sci Comput"},{"issue":"10","key":"9561_CR10","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.1109\/TPAMI.2018.2873610","volume":"41","author":"W Dong","year":"2019","unstructured":"Dong W, Wang P, Yin W, Shi G, Wu F, Lu X (2019) Denoising prior driven deep neural network for image restoration. IEEE Trans Pattern Anal Mach Intell 41(10):2305\u20132318","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"9561_CR11","doi-asserted-by":"publisher","first-page":"6196","DOI":"10.1109\/TGRS.2018.2833473","volume":"56","author":"H Fan","year":"2018","unstructured":"Fan H, Li C, Guo Y, Kuang G, Ma J (2018) Spatial-spectral total variation regularized low-rank tensor decomposition for hyperspectral image denoising. IEEE Trans Geosci Remote Sens 56(10):6196\u20136213","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"4","key":"9561_CR12","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MCOM.2018.1700817","volume":"56","author":"A Ghoneim","year":"2018","unstructured":"Ghoneim A, Muhammad G, Amin SU, Gupta B (2018) Medical image forgery detection for smart healthcare. IEEE Commun Mag 56(4):33\u201337","journal-title":"IEEE Commun Mag"},{"issue":"3","key":"9561_CR13","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1137\/070698592","volume":"7","author":"G Gilboa","year":"2009","unstructured":"Gilboa G, Osher S (2009) Nonlocal operators with applications to image processing. Multiscale Model Simul 7(3):1005\u20131028","journal-title":"Multiscale Model Simul"},{"issue":"2","key":"9561_CR14","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 Imaging Sci 2(2):323\u2013343","journal-title":"SIAM J Imaging Sci"},{"issue":"2","key":"9561_CR15","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1137\/120904263","volume":"7","author":"W Guo","year":"2014","unstructured":"Guo W, Qin J, Yin W (2014) A new detail-preserving regularization scheme. SIAM J Imaging Sci 7(2):1309\u20131334","journal-title":"SIAM J Imaging Sci"},{"issue":"11","key":"9561_CR16","doi-asserted-by":"publisher","first-page":"1961","DOI":"10.1364\/JOSAA.34.001961","volume":"34","author":"H Guo","year":"2017","unstructured":"Guo H, Ma Y, Mei X, Ma J (2017) Infrared and visible image fusion based on total variation and augmented Lagrangian. J Opt Soc Am A 34 (11):1961\u20131968","journal-title":"J Opt Soc Am A"},{"issue":"4","key":"9561_CR17","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1137\/1034115","volume":"34","author":"PC Hansen","year":"1992","unstructured":"Hansen PC (1992) Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev 34(4):561\u2013580","journal-title":"SIAM Rev"},{"issue":"12","key":"9561_CR18","doi-asserted-by":"publisher","first-page":"4954","DOI":"10.1109\/TIP.2014.2360133","volume":"23","author":"C He","year":"2014","unstructured":"He C, Hu C, Zhang W, Shi B (2014) A fast adaptive parameter estimation for total variation image restoration. IEEE Trans Image Process 23(12):4954\u20134967","journal-title":"IEEE Trans Image Process"},{"issue":"20","key":"9561_CR19","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.ins.2016.01.087","volume":"348","author":"C He","year":"2016","unstructured":"He C, Hu C, Li X, Yang X, Zhang W (2016) A parallel alternating direction method with application to compound l1-regularized imaging inverse problems. Inform Sci 348(20):179\u2013197","journal-title":"Inform Sci"},{"issue":"4","key":"9561_CR20","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1109\/TMM.2019.2938340","volume":"22","author":"Z Jin","year":"2020","unstructured":"Jin Z, Iqbal MZ, Bobkov D, Zou W, Li X, Steinbach E (2020) A flexible deep CNN framework for image restoration. IEEE Trans Multimed 22(4):1055\u20131068","journal-title":"IEEE Trans Multimed"},{"issue":"2","key":"9561_CR21","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1002\/mrm.22595","volume":"65","author":"F Knoll","year":"2011","unstructured":"Knoll F, Bredies K, Pock T, Stollberger R (2011) Second order total generalized variation (TGV) for MRI. Magn Reson Med 65(2):480\u2013491","journal-title":"Magn Reson Med"},{"issue":"3","key":"9561_CR22","first-page":"22","volume":"9","author":"A Kumar","year":"2019","unstructured":"Kumar A (2019) Design of secure image fusion technique using cloud for privacy-preserving and copyright protection. Int J Cloud Appl Comput (IJCAC) 9(3):22\u201336","journal-title":"Int J Cloud Appl Comput (IJCAC)"},{"issue":"4","key":"9561_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSSCI.2019100101","volume":"11","author":"Y Li","year":"2019","unstructured":"Li Y, Shi H, Chen L, Jiang F (2019) Convolutional approach also benefits traditional face pattern recognition algorithm [208!]. Int J Softw Sci Comput Intell 11(4):1\u201316","journal-title":"Int J Softw Sci Comput Intell"},{"issue":"3","key":"9561_CR24","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.1007\/s00034-018-0918-1","volume":"38","author":"X Liu","year":"2019","unstructured":"Liu X (2019) Primal-dual method for hybrid regularizers-based image restoration with impulse noise. Circuits Syst Signal Process 38(3):1318\u20131332","journal-title":"Circuits Syst Signal Process"},{"issue":"13","key":"9561_CR25","doi-asserted-by":"publisher","first-page":"18855","DOI":"10.1007\/s11042-019-7247-7","volume":"78","author":"X Liu","year":"2019","unstructured":"Liu X (2019) Total generalized variation and shearlet transform based Poissonian image deconvolution. Multimed Tools Appl 78(13):18855\u201318868","journal-title":"Multimed Tools Appl"},{"key":"9561_CR26","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.matcom.2013.10.001","volume":"97","author":"X Liu","year":"2014","unstructured":"Liu X, Huang L (2014) A new nonlocal total variation regularization algorithm for image denoising. Math Comput Simulat 97:224\u2013233","journal-title":"Math Comput Simulat"},{"issue":"1","key":"9561_CR27","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s11263-005-3219-7","volume":"66","author":"M Lysaker","year":"2006","unstructured":"Lysaker M, Tai X-C (2006) Iterative image restoration combining total variation minimization and a second-order functional. Int J Comput Vis 66(1):5\u201318","journal-title":"Int J Comput Vis"},{"issue":"12","key":"9561_CR28","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1109\/TIP.2003.819229","volume":"12","author":"M Lysaker","year":"2003","unstructured":"Lysaker M, Lundervold A, Tai X-C (2003) Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Trans Image Process 12(12):1579\u20131590","journal-title":"IEEE Trans Image Process"},{"key":"9561_CR29","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.inffus.2016.02.001","volume":"31","author":"J Ma","year":"2016","unstructured":"Ma J, Chen C, Li C, Huang J (2016) Infrared and visible image fusion via gradient transfer and total variation minimization. Inform Fusion 31:100\u2013109","journal-title":"Inform Fusion"},{"key":"9561_CR30","volume-title":"A wavelet tour of signal processing","author":"SG Mallat","year":"1999","unstructured":"Mallat SG (1999) A wavelet tour of signal processing, 2nd edn. Academic Press, San Diego","edition":"2nd edn."},{"issue":"2","key":"9561_CR31","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1504\/IJHPCN.2019.097508","volume":"13","author":"KE Melkemi","year":"2019","unstructured":"Melkemi KE, Golea NEH (2019) Roi-based fragile watermarking for medical image tamper detection. Int J High Perform Comput Netw 13(2):199\u2013210","journal-title":"Int J High Perform Comput Netw"},{"issue":"5","key":"9561_CR32","doi-asserted-by":"publisher","first-page":"2710","DOI":"10.1137\/090774823","volume":"32","author":"MK Ng","year":"2010","unstructured":"Ng MK, Weiss P, Yuan X (2010) Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods. SIAM J Sci Comput 32(5):2710\u20132736","journal-title":"SIAM J Sci Comput"},{"key":"9561_CR33","doi-asserted-by":"publisher","DOI":"10.1002\/0471221325","volume-title":"Digital image processing","author":"WK Pratt","year":"2001","unstructured":"Pratt WK (2001) Digital image processing, 3rd edn. Wiley, New York","edition":"3rd edn."},{"issue":"1\u20134","key":"9561_CR34","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L Rudin","year":"1992","unstructured":"Rudin L, Osher S, Fatemi E (1992) Nonlinear total variation based noise removal algorithms. Physica D 60(1\u20134):259\u2013268","journal-title":"Physica D"},{"issue":"2","key":"9561_CR35","doi-asserted-by":"publisher","first-page":"38","DOI":"10.4018\/IJSSCI.2019040103","volume":"11","author":"C Sun","year":"2019","unstructured":"Sun C, Li C, Zhu Y (2019) A novel convolutional neural network based localization system for monocular images. Int J Softw Sci Comput Intell 11(2):38\u201350","journal-title":"Int J Softw Sci Comput Intell"},{"issue":"1","key":"9561_CR36","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1137\/120867172","volume":"6","author":"T Valkonen","year":"2013","unstructured":"Valkonen T, Bredies K, Knoll F (2013) Total generalized variation in diffusion tensor imaging. SIAM J Imaging Sci 6(1):487\u2013525","journal-title":"SIAM J Imaging Sci"},{"issue":"4","key":"9561_CR37","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"9561_CR38","doi-asserted-by":"publisher","first-page":"2047","DOI":"10.1137\/070696143","volume":"31","author":"P Weiss","year":"2009","unstructured":"Weiss P, Blanc-F\u00e9raud L, Aubert G (2009) Efficient schemes for total variation minimization under constraints in image processing. SIAM J Sci Comput 31(3):2047\u20132080","journal-title":"SIAM J Sci Comput"},{"issue":"4","key":"9561_CR39","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1109\/TIP.2011.2181401","volume":"21","author":"YW Wen","year":"2012","unstructured":"Wen YW, Chan RH (2012) Parameter selection for total-variation-based image restoration using discrepancy principle. IEEE Trans Image Process 21 (4):1770\u20131781","journal-title":"IEEE Trans Image Process"},{"issue":"16","key":"9561_CR40","doi-asserted-by":"publisher","first-page":"17179","DOI":"10.1007\/s11042-016-3760-0","volume":"76","author":"Q Wu","year":"2017","unstructured":"Wu Q, Li Y, Lin Y (2017) The application of nonlocal total variation in image denoising for mobile transmission. Multimed Tools Appl 76 (16):17179\u201317191","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"9561_CR41","doi-asserted-by":"publisher","first-page":"4585","DOI":"10.1007\/s11042-017-4637-6","volume":"77","author":"C Yu","year":"2018","unstructured":"Yu C, Li J, Li X, Ren X, Gupta BB (2018) Four-image encryption scheme based on quaternion Fresnel transform, chaos and computer generated hologram. Multimed Tools Appl 77(4):4585\u20134608","journal-title":"Multimed Tools Appl"},{"issue":"8","key":"9561_CR42","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","volume":"20","author":"L Zhang","year":"2011","unstructured":"Zhang L, Zhang L, Mou X, Zhang D (2011) FSIM: a feature similarity index for image qualtiy assessment. IEEE Trans Image Process 20(8):2378\u20132386","journal-title":"IEEE Trans Image Process"},{"key":"9561_CR43","doi-asserted-by":"publisher","first-page":"107434","DOI":"10.1016\/j.sigpro.2019.107434","volume":"170","author":"M Zhang","year":"2020","unstructured":"Zhang M, Li S, Yu F, Tian X (2020) Image fusion employing adaptive spectral-spatial gradient sparse regularization in UAV remote sensing. Signal Process 170:107434","journal-title":"Signal Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09561-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-020-09561-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09561-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T23:59:14Z","timestamp":1616716754000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-020-09561-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,26]]},"references-count":43,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["9561"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09561-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,11,26]]},"assertion":[{"value":"1 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}