{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:10:22Z","timestamp":1764785422883,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62131003"],"award-info":[{"award-number":["62131003"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s11263-024-02163-y","type":"journal-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T13:01:59Z","timestamp":1721048519000},"page":"6127-6141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Robust Image Restoration with an Adaptive Huber Function Based Fidelity"],"prefix":"10.1007","volume":"132","author":[{"given":"Lingfei","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2587-1702","authenticated-orcid":false,"given":"Hua","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,15]]},"reference":[{"key":"2163_CR1","doi-asserted-by":"crossref","unstructured":"Abdelhamed, A., Brubaker, M. A., & Brown, M. S. (2019). Noise flow: Noise modeling with conditional normalizing flows. In IEEE international conference on computer vision (pp. 3165\u20133173).","DOI":"10.1109\/ICCV.2019.00326"},{"key":"2163_CR2","doi-asserted-by":"crossref","unstructured":"Abdelhamed, A., Lin, S., & Brown, M. S. (2018). A high-quality denoising dataset for smartphone cameras. In IEEE conference on computer vision and pattern recognition (pp. 1692\u20131700).","DOI":"10.1109\/CVPR.2018.00182"},{"key":"2163_CR3","doi-asserted-by":"crossref","unstructured":"Abuolaim, A., & Brown, M. S. (2020). Defocus deblurring using dual-pixel data. In European conference on computer vision (pp. 111\u2013126).","DOI":"10.1007\/978-3-030-58607-2_7"},{"issue":"4","key":"2163_CR4","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 Journal on Applied Mathematics, 68(4), 925\u2013946.","journal-title":"SIAM Journal on Applied Mathematics"},{"key":"2163_CR5","volume-title":"Constrained optimization and Lagrange multiplier methods","author":"DP Bertsekas","year":"2014","unstructured":"Bertsekas, D. P. (2014). Constrained optimization and Lagrange multiplier methods. Academic Press."},{"issue":"2","key":"2163_CR6","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 Modeling and Simulation, 4(2), 490\u2013530.","journal-title":"Multiscale Modeling and Simulation"},{"issue":"19","key":"2163_CR7","doi-asserted-by":"publisher","first-page":"4822","DOI":"10.1109\/TSP.2013.2274275","volume":"61","author":"RE Carrillo","year":"2013","unstructured":"Carrillo, R. E., & Barner, K. E. (2013). Lorentzian iterative hard thresholding: Robust compressed sensing with prior information. IEEE Transactions on Signal Processing, 61(19), 4822\u20134833.","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"2","key":"2163_CR8","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1109\/JSTSP.2009.2039177","volume":"4","author":"RE Carrillo","year":"2010","unstructured":"Carrillo, R. E., Barner, K. E., & Aysal, T. C. (2010). Robust sampling and reconstruction methods for sparse signals in the presence of impulsive noise. IEEE Journal of Selected Topics in Signal Processing, 4(2), 392\u2013408.","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"issue":"1","key":"2163_CR9","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/TCI.2016.2629286","volume":"3","author":"SH Chan","year":"2016","unstructured":"Chan, S. H., Wang, X., & Elgendy, O. A. (2016). Plug-and-play ADMM for image restoration: Fixed-point convergence and applications. IEEE Transactions on Computational Imaging, 3(1), 84\u201398.","journal-title":"IEEE Transactions on Computational Imaging"},{"issue":"9","key":"2163_CR10","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1109\/83.862633","volume":"9","author":"SG Chang","year":"2000","unstructured":"Chang, S. G., Yu, B., & Vetterli, M. (2000). Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing, 9(9), 1532\u20131546.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"8","key":"2163_CR11","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 Transactions on Image Processing, 16(8), 2080\u20132095.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"3","key":"2163_CR12","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1093\/biomet\/81.3.425","volume":"81","author":"DL Donoho","year":"1994","unstructured":"Donoho, D. L., & Johnstone, J. M. (1994). Ideal spatial adaptation by wavelet shrinkage. Biometrika, 81(3), 425\u2013455.","journal-title":"Biometrika"},{"issue":"10","key":"2163_CR13","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"Farsiu, S., Robinson, M. D., Elad, M., & Milanfar, P. (2004). Fast and robust multiframe super-resolution. IEEE Transactions on Image Processing, 13(10), 1327\u20131344.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2163_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21593-8","volume-title":"Fixed point theory","author":"A Granas","year":"2003","unstructured":"Granas, A., & Dugundji, J. (2003). Fixed point theory (Vol. 14). Springer."},{"key":"2163_CR15","doi-asserted-by":"crossref","unstructured":"Huang, J. B., Singh, A., & Ahuja, N. (2015). Single image super-resolution from transformed self-exemplars. In IEEE conference on computer vision and pattern recognition (pp. 5197\u20135206).","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"2163_CR16","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1007\/978-1-4612-4380-9_35","volume-title":"Breakthroughs in statistics","author":"PJ Huber","year":"1992","unstructured":"Huber, P. J. (1992). Robust estimation of a location parameter. In S. Kotz & N. L. Johnson (Eds.), Breakthroughs in statistics (pp. 492\u2013518). Springer."},{"key":"2163_CR17","first-page":"1248","volume-title":"Robust statistics","author":"PJ Huber","year":"2011","unstructured":"Huber, P. J. (2011). Robust statistics (pp. 1248\u20131251). Springer."},{"key":"2163_CR18","doi-asserted-by":"crossref","unstructured":"Jang, G., Lee, W., Son, S., & Lee K. M. (2021). C2N: Practical generative noise modeling for real-world denoising. In IEEE international conference on computer vision (pp. 2350\u20132359).","DOI":"10.1109\/ICCV48922.2021.00235"},{"issue":"3","key":"2163_CR19","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s10851-007-0652-y","volume":"27","author":"T Le","year":"2007","unstructured":"Le, T., Chartrand, R., & Asaki, T. J. (2007). A variational approach to reconstructing images corrupted by Poisson noise. Journal of Mathematical Imaging and Vision, 27(3), 257\u2013263.","journal-title":"Journal of Mathematical Imaging and Vision"},{"issue":"1","key":"2163_CR20","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2012","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., & Ma, Y. (2012). Robust recovery of subspace structures by low-rank representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1), 171\u2013184.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"10","key":"2163_CR21","doi-asserted-by":"publisher","first-page":"4971","DOI":"10.1109\/TIP.2018.2848113","volume":"27","author":"X Liu","year":"2018","unstructured":"Liu, X., Chen, L., Wang, W., & Zhao, J. (2018). Robust multi-frame super-resolution based on spatially weighted half-quadratic estimation and adaptive BTV regularization. IEEE Transactions on Image Processing, 27(10), 4971\u20134986.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2163_CR22","doi-asserted-by":"crossref","unstructured":"Liu, X., & Zhao, J. (2017). Robust multi-frame super-resolution with adaptive norm choice and difference curvature based BTV regularization. In IEEE global conference on signal and information processing (pp. 388\u2013392).","DOI":"10.1109\/GlobalSIP.2017.8308670"},{"issue":"1","key":"2163_CR23","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/TIP.2007.911828","volume":"17","author":"J Mairal","year":"2007","unstructured":"Mairal, J., Elad, M., & Sapiro, G. (2007). Sparse representation for color image restoration. IEEE Transactions on Image Processing, 17(1), 53\u201369.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2163_CR24","volume-title":"Robust statistics: Theory and methods","author":"RA Maronna","year":"2019","unstructured":"Maronna, R. A., Martin, R. D., Yohai, V. J., & Salibin-Barrera, M. (2019). Robust statistics: Theory and methods. Hoboken: Wiley."},{"key":"2163_CR25","doi-asserted-by":"crossref","unstructured":"Martin, D., Fowlkes, C., Tal, D., & Malik, J. (2001). A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In IEEE international conference on computer vision (pp. 416\u2013423).","DOI":"10.1109\/ICCV.2001.937655"},{"key":"2163_CR26","doi-asserted-by":"crossref","unstructured":"Meng, D., & De\u00a0La\u00a0Torre, F. (2013). Robust matrix factorization with unknown noise. In IEEE international conference on computer vision (pp. 1337\u20131344).","DOI":"10.1109\/ICCV.2013.169"},{"key":"2163_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2007\/34821","volume":"2007","author":"V Patanavijit","year":"2007","unstructured":"Patanavijit, V., & Jitapunkul, S. (2007). A Lorentzian stochastic estimation for a robust iterative multiframe super-resolution reconstruction with Lorentzian\u2013Tikhonov regularization. EURASIP Journal on Advances in Signal Processing, 2007, 1\u201321.","journal-title":"EURASIP Journal on Advances in Signal Processing"},{"issue":"12","key":"2163_CR28","doi-asserted-by":"publisher","first-page":"4724","DOI":"10.1109\/TIP.2013.2277821","volume":"22","author":"DS Pham","year":"2013","unstructured":"Pham, D. S., & Venkatesh, S. (2013). Efficient algorithms for robust recovery of images from compressed data. IEEE Transactions on Image Processing, 22(12), 4724\u20134737.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2163_CR29","unstructured":"Razavi, S. A., Ollila, E., & Koivunen, V. (2012). Robust greedy algorithms for compressed sensing. In European signal processing conference (pp. 969\u2013973)."},{"issue":"1\u20134","key":"2163_CR30","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"Rudin, L. I., 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":"2","key":"2163_CR31","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/s10851-009-0179-5","volume":"36","author":"G Steidl","year":"2010","unstructured":"Steidl, G., & Teuber, T. (2010). Removing multiplicative noise by Douglas\u2013Rachford splitting methods. Journal of Mathematical Imaging and Vision, 36(2), 168\u2013184.","journal-title":"Journal of Mathematical Imaging and Vision"},{"key":"2163_CR32","doi-asserted-by":"crossref","unstructured":"Venkatakrishnan, S. V., Bouman, C. A., & Wohlberg, B. (2013). Plug-and-play priors for model based reconstruction. In IEEE global conference on signal and information processing (pp. 945\u2013948).","DOI":"10.1109\/GlobalSIP.2013.6737048"},{"issue":"4","key":"2163_CR33","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4), 600\u2013612.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"11","key":"2163_CR34","first-page":"8520","volume":"44","author":"K Wei","year":"2021","unstructured":"Wei, K., Fu, Y., Zheng, Y., & Yang, J. (2021). Physics-based noise modeling for extreme low-light photography. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 8520\u20138537.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"2163_CR35","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TSP.2016.2598316","volume":"65","author":"F Wen","year":"2016","unstructured":"Wen, F., Liu, P., Liu, Y., Qiu, R. C., & Yu, W. (2016). Robust sparse recovery in impulsive noise via $${\\ell _p}$$-$${\\ell _1}$$ optimization. IEEE Transactions on Signal Processing, 65(1), 105\u2013118.","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"2","key":"2163_CR36","doi-asserted-by":"publisher","first-page":"B336","DOI":"10.1137\/11083811X","volume":"35","author":"H Woo","year":"2013","unstructured":"Woo, H., & Yun, S. (2013). Proximal linearized alternating direction method for multiplicative denoising. SIAM Journal on Scientific Computing, 35(2), B336\u2013B358.","journal-title":"SIAM Journal on Scientific Computing"},{"key":"2163_CR37","doi-asserted-by":"crossref","unstructured":"Yan, M. (2013). Restoration of images corrupted by impulse noise and mixed gaussian impulse noise using blind inpainting. SIAM Journal on Imaging Sciences, 6(3), 1227\u20131245.","DOI":"10.1137\/12087178X"},{"key":"2163_CR38","doi-asserted-by":"crossref","unstructured":"Yue, Z., Zhao, Q., Zhang, L., & Meng, D. (2020). Dual adversarial network: Toward real-world noise removal and noise generation. In European conference on computer vision (pp. 41\u201358).","DOI":"10.1007\/978-3-030-58607-2_3"},{"key":"2163_CR39","doi-asserted-by":"crossref","unstructured":"Zeng, X., & Yang, L. (2013). A robust multiframe super-resolution algorithm based on half-quadratic estimation with modified BTV regularization. Digital Signal Processing, 23(1), 98\u2013109.","DOI":"10.1016\/j.dsp.2012.06.013"},{"issue":"10","key":"2163_CR40","doi-asserted-by":"publisher","first-page":"6360","DOI":"10.1109\/TPAMI.2021.3088914","volume":"44","author":"K Zhang","year":"2021","unstructured":"Zhang, K., Li, Y., Zuo, W., Zhang, L., Van Gool, L., & Timofte, R. (2021). Plug-and-play image restoration with deep denoiser prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), 6360\u20136376.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2163_CR41","doi-asserted-by":"crossref","unstructured":"Zhang, K., Zuo, W., Gu, S., & Zhang, L. (2017). Learning deep CNN denoiser prior for image restoration. In IEEE conference on computer vision and pattern recognition (pp. 3929\u20133938).","DOI":"10.1109\/CVPR.2017.300"},{"issue":"9","key":"2163_CR42","doi-asserted-by":"publisher","first-page":"4608","DOI":"10.1109\/TIP.2018.2839891","volume":"27","author":"K Zhang","year":"2018","unstructured":"Zhang, K., Zuo, W., & Zhang, L. (2018). FFDNet: Toward a fast and flexible solution for CNN-based image denoising. IEEE Transactions on Image Processing, 27(9), 4608\u20134622.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2163_CR43","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, D., Law, K. L., Wang, X., Qin, H., & Li, H. (2022). IDR: Self-supervised image denoising via iterative data refinement. In IEEE conference on computer vision and pattern recognition (pp. 2098\u20132107).","DOI":"10.1109\/CVPR52688.2022.00214"},{"key":"2163_CR44","unstructured":"Zhang, Y., Li, D., Shi, X., He, D., Song, K., Wang, X., Qin, H., & Li, H. (2023). KBNet: Kernel basis network for image restoration. arXiv preprint arXiv:2303.02881"},{"key":"2163_CR45","unstructured":"Zhao, Q., Meng, D., Xu, Z., Zuo, W., & Zhang, L. (2014). Robust principal component analysis with complex noise. In International conference on machine learning (pp. 55\u201363)."},{"key":"2163_CR46","doi-asserted-by":"crossref","unstructured":"Zou, Y., & Fu, Y. (2022). Estimating fine-grained noise model via contrastive learning. In IEEE conference on computer vision and pattern recognition (pp. 12682\u201312691).","DOI":"10.1109\/CVPR52688.2022.01235"},{"issue":"10","key":"2163_CR47","doi-asserted-by":"publisher","first-page":"2748","DOI":"10.1109\/TIP.2011.2131665","volume":"20","author":"W Zuo","year":"2011","unstructured":"Zuo, W., & Lin, Z. (2011). A generalized accelerated proximal gradient approach for total-variation-based image restoration. IEEE Transactions on Image Processing, 20(10), 2748\u20132759.","journal-title":"IEEE Transactions on Image Processing"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02163-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-024-02163-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02163-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T10:28:33Z","timestamp":1731666513000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-024-02163-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":47,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["2163"],"URL":"https:\/\/doi.org\/10.1007\/s11263-024-02163-y","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"type":"print","value":"0920-5691"},{"type":"electronic","value":"1573-1405"}],"subject":[],"published":{"date-parts":[[2024,7,15]]},"assertion":[{"value":"19 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}