{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T08:46:22Z","timestamp":1766133982369,"version":"3.37.3"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T00:00:00Z","timestamp":1599782400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T00:00:00Z","timestamp":1599782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s11042-020-09685-w","type":"journal-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T17:02:58Z","timestamp":1599843778000},"page":"2047-2062","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A new restricted boltzmann machine training algorithm for image restoration"],"prefix":"10.1007","volume":"80","author":[{"given":"Ali","family":"Fakhari","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6582-8691","authenticated-orcid":false,"given":"Kourosh","family":"Kiani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,11]]},"reference":[{"issue":"3","key":"9685_CR1","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1007\/s11063-016-9556-4","volume":"45","author":"S Basu","year":"2017","unstructured":"Basu S, Karki M, Ganguly S, DiBiano R, Mukhopadhyay S, Gayaka S, Kannan R, Nemani R (2017) Learning sparse feature representations using probabilistic quadtrees and deep belief nets. Neural Process Lett 45 (3):855\u2013867","journal-title":"Neural Process Lett"},{"issue":"6","key":"9685_CR2","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1162\/neco.2008.11-07-647","volume":"21","author":"Y Bengio","year":"2009","unstructured":"Bengio Y, Delalleau O (2009) Justifying and generalizing contrastive divergence. Neural Comput 21(6):1601\u20131621","journal-title":"Neural Comput"},{"issue":"2","key":"9685_CR3","first-page":"17","volume":"17","author":"T Chan","year":"2005","unstructured":"Chan T, Esedoglu S, Park F, Yip A (2005) Recent developments in total variation image restoration. Mathematical Models of Computer Vision 17 (2):17\u201331","journal-title":"Mathematical Models of Computer Vision"},{"key":"9685_CR4","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1016\/j.neucom.2017.10.018","volume":"275","author":"S Choo","year":"2018","unstructured":"Choo S, Lee H (2018) Learning framework of multimodal gaussian\u2013bernoulli rbm handling real-value input data. Neurocomputing 275:1813\u20131822","journal-title":"Neurocomputing"},{"key":"9685_CR5","doi-asserted-by":"crossref","unstructured":"Dabov K, Foi A, Katkovnik V, Egiazarian K (2008) Image restoration by sparse 3d transform-domain collaborative filtering. In: International society for optics and photonics. vol. 6812, p 681207, Image Processing: Algorithms and Systems VI","DOI":"10.1117\/12.766355"},{"key":"9685_CR6","doi-asserted-by":"crossref","unstructured":"Dong C, Deng Y, Change Loy C, Tang X (2015) Compression artifacts reduction by a deep convolutional network. In: Proceedings of the IEEE international conference on computer vision, pp 576\u2013584","DOI":"10.1109\/ICCV.2015.73"},{"issue":"7","key":"9685_CR7","doi-asserted-by":"publisher","first-page":"1838","DOI":"10.1109\/TIP.2011.2108306","volume":"20","author":"W Dong","year":"2011","unstructured":"Dong W, Zhang L, Shi G, Wu X (2011) Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization. IEEE Trans Image Process 20(7):1838\u20131857","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"9685_CR8","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"},{"issue":"1","key":"9685_CR9","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.patcog.2013.05.025","volume":"47","author":"A Fischer","year":"2014","unstructured":"Fischer A, Igel C (2014) Training restricted boltzmann machines: An introduction. Pattern Recogn 47(1):25\u201339","journal-title":"Pattern Recogn"},{"issue":"21","key":"9685_CR10","doi-asserted-by":"publisher","first-page":"30707","DOI":"10.1007\/s11042-018-6521-4","volume":"78","author":"B Fu","year":"2019","unstructured":"Fu B, Zhao X, Li Y, Wang X, Ren Y (2019) A convolutional neural networks denoising approach for salt and pepper noise. Multimed Tool Appl 78(21):30707\u201330721","journal-title":"Multimed Tool Appl"},{"key":"9685_CR11","doi-asserted-by":"crossref","unstructured":"Gao J, Guo Y, Yin M (2013) Restricted boltzmann machine approach to couple dictionary training for image super-resolution. In: 2013 IEEE international conference on image processing. IEEE, pp 499\u2013503","DOI":"10.1109\/ICIP.2013.6738103"},{"key":"9685_CR12","doi-asserted-by":"crossref","unstructured":"Gondara L (2016) Medical image denoising using convolutional denoising autoencoders. In: 2016 IEEE 16th International conference on data mining workshops (ICDMW). IEEE, pp 241\u2013246","DOI":"10.1109\/ICDMW.2016.0041"},{"key":"9685_CR13","volume-title":"Deep learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT press, Cambridge"},{"key":"9685_CR14","doi-asserted-by":"crossref","unstructured":"Hershey JR, Olsen PA (2007) Approximating the kullback leibler divergence between gaussian mixture models. In: 2007 IEEE international conference on acoustics, speech and signal processing-ICASSP\u201907, vol 4. IEEE, pp IV\u2013317","DOI":"10.1109\/ICASSP.2007.366913"},{"issue":"8","key":"9685_CR15","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1162\/089976602760128018","volume":"14","author":"GE Hinton","year":"2002","unstructured":"Hinton GE (2002) Training products of experts by minimizing contrastive divergence. Neural Comput 14(8):1771\u20131800","journal-title":"Neural Comput"},{"issue":"10","key":"9685_CR16","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.tics.2007.09.004","volume":"11","author":"GE Hinton","year":"2007","unstructured":"Hinton GE (2007) Learning multiple layers of representation. Trends Cogn Sci 11(10):428\u2013434","journal-title":"Trends Cogn Sci"},{"key":"9685_CR17","doi-asserted-by":"crossref","unstructured":"Hinton GE (2012) A practical guide to training restricted boltzmann machines. In: Neural networks: Tricks of the trade. Springer, Berlin, pp 599\u2013619","DOI":"10.1007\/978-3-642-35289-8_32"},{"key":"9685_CR18","doi-asserted-by":"crossref","unstructured":"Hore A, Ziou D (2010) Image quality metrics: Psnr vs. ssim. In: 2010 20th International conference on pattern recognition. IEEE, pp 2366\u20132369","DOI":"10.1109\/ICPR.2010.579"},{"key":"9685_CR19","unstructured":"Jain V, Seung S (2009) Natural image denoising with convolutional networks. In: Advances in neural information processing systems, pp 769\u2013776"},{"key":"9685_CR20","doi-asserted-by":"crossref","unstructured":"Jansen C, Mackowiak R, Hezel N, Ufer M, Altst\u00e4dt G, Barthel KU (2015) Reconstructing missing areas in facial images. In: 2015 IEEE International symposium on multimedia (ISM). IEEE, pp 323\u2013326","DOI":"10.1109\/ISM.2015.68"},{"key":"9685_CR21","unstructured":"Krizhevsky A, Hinton G, et al. (2010) Factored 3-way restricted boltzmann machines for modeling natural images. In: Proceedings of the thirteenth international conference on artificial intelligence and statistics, pp 621\u2013628"},{"issue":"3","key":"9685_CR22","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1162\/NECO_a_00086","volume":"23","author":"N Le Roux","year":"2011","unstructured":"Le Roux N, Heess N, Shotton J, Winn J (2011) Learning a generative model of images by factoring appearance and shape. Neural Comput 23 (3):593\u2013650","journal-title":"Neural Comput"},{"key":"9685_CR23","unstructured":"Mao X-J, Shen C, Yang Y-B (2016) Image restoration using convolutional auto-encoders with symmetric skip connections. arXiv:1606.08921"},{"issue":"2","key":"9685_CR24","doi-asserted-by":"publisher","first-page":"e0171015","DOI":"10.1371\/journal.pone.0171015","volume":"12","author":"J Melchior","year":"2017","unstructured":"Melchior J, Wang N, Wiskott L (2017) Gaussian-binary restricted boltzmann machines for modeling natural image statistics. PloS one 12(2):e0171015","journal-title":"PloS one"},{"key":"9685_CR25","doi-asserted-by":"crossref","unstructured":"Mu Y, Ferrie F, Dimitrakopoulos R (2015) Sparse image reconstruction by two phase rbm learning: application to mine planning. In: 2015 14th IAPR international conference on machine vision applications (MVA). IEEE, pp 316\u2013320","DOI":"10.1109\/MVA.2015.7153194"},{"key":"9685_CR26","doi-asserted-by":"crossref","unstructured":"Mu Y, Ferrie F, Dimitrakopoulos R (2015) Sparse image reconstruction by two phase rbm learning: Application to mine planning. In: 2015 14th IAPR international conference on machine vision applications (MVA). IEEE, pp 316\u2013320","DOI":"10.1109\/MVA.2015.7153194"},{"issue":"9","key":"9685_CR27","doi-asserted-by":"publisher","first-page":"1683","DOI":"10.1016\/j.sigpro.2009.03.018","volume":"89","author":"JP Oliveira","year":"2009","unstructured":"Oliveira JP, Bioucas-Dias JM, Figueiredo MA (2009) Adaptive total variation image deblurring: a majorization\u2013minimization approach. Signal Process 89(9):1683\u20131693","journal-title":"Signal Process"},{"key":"9685_CR28","doi-asserted-by":"crossref","unstructured":"Pires RG, Santos DFS, Pereira LAM, De Souza GB, Levada ALM, Papa JP (2017) A robust restricted boltzmann machine for binary image denoising. In: 2017 30th SIBGRAPI conference on graphics, patterns and images (SIBGRAPI). IEEE, pp 390\u2013396","DOI":"10.1109\/SIBGRAPI.2017.58"},{"key":"9685_CR29","doi-asserted-by":"crossref","unstructured":"Selvi AS, Kumar KPM, Dhanasekeran S, Maheswari PU, Ramesh S, Pandi SS (2019) De-noising of images from salt and pepper noise using hybrid filter, fuzzy logic noise detector and genetic optimization algorithm (hfgoa). Multimedia Tools and Applications (79), pp. 4115\u20134131","DOI":"10.1007\/s11042-019-7727-9"},{"key":"9685_CR30","doi-asserted-by":"crossref","unstructured":"Tang Y, Salakhutdinov R, Hinton G (2012) Robust boltzmann machines for recognition and denoising. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE, pp 2264\u20132271","DOI":"10.1109\/CVPR.2012.6247936"},{"key":"9685_CR31","unstructured":"Wang N, Melchior J, Wiskott L (2012) An analysis of gaussian-binary restricted boltzmann machines for natural images. In: ESANN"},{"key":"9685_CR32","unstructured":"Wang X, Zheng Z, He Y, Yan F, Zeng Z, Yang Y (2020) Progressive local filter pruning for image retrieval acceleration. arXiv:2001.08878"},{"key":"9685_CR33","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":"11","key":"9685_CR34","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"Yang J, Wright J, Huang TS, Ma Y (2010) Image super-resolution via sparse representation. IEEE Trans Image Process 19(11):2861\u20132873","journal-title":"IEEE Trans Image Process"},{"key":"9685_CR35","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1016\/j.neucom.2017.09.065","volume":"275","author":"N Zhang","year":"2018","unstructured":"Zhang N, Ding S, Zhang J, Xue Y (2018) An overview on restricted boltzmann machines. Neurocomputing 275:1186\u20131199","journal-title":"Neurocomputing"},{"key":"9685_CR36","doi-asserted-by":"crossref","unstructured":"Zheng Z, Yang X, Yu Z, Zheng L, Yang Y, Kautz J (2019) Joint discriminative and generative learning for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2138\u20132147","DOI":"10.1109\/CVPR.2019.00224"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09685-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09685-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09685-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T23:41:08Z","timestamp":1631317268000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09685-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,11]]},"references-count":36,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["9685"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09685-w","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,9,11]]},"assertion":[{"value":"3 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}