[{"_1":2,"_155":-5,"_156":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_134":135},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_23":24,"_25":-5,"_26":11,"_27":11,"_28":29,"_30":31,"_32":-5,"_33":11,"_34":35,"_84":-5,"_85":86,"_125":-5,"_126":11,"_127":17,"_128":11,"_129":-5,"_130":11,"_131":-5,"_132":133},"canonicalUrl","https://hub.docker.com/r/optimisticbear/matlabsadn/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","optimisticbear","reponame","matlabsadn","cloudBuildSource","isAutobuildsAvailable","repo",{"_36":37,"_38":39,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":51,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":70,"_75":11,"_76":77,"_81":29,"_82":83},"categories",[],"content_types",[40],"image","date_registered","2020-07-14T04:24:09.553834Z","description","MatlabR2016b for SADN computing","is_private","last_updated","2020-07-14T09:07:30.634511Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[52],"application/vnd.docker.container.image.v1+json","name","pull_count",40,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","# The Image For SADN\n\nMatlabR2016b is installed in this image to run the SADN code.\n\n## SADN code comes from : https://github.com/yqx7150/SADN\n\n### The details are as follows:\n\n#### SADN (Synthesis-analysis deconvolutional network for compressed sensing) \n\n%% The Code is created based on the method described in the following papers: \n% Q. Liu, H. Leung, \"Synthesis-analysis deconvolutional network for compressed sensing,\" Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017: 1940-1944. \n% Author: Q. Liu, H. Leung \n% Date : 09/2018 \n% Version : 1.0 \n% The code and the algorithm are for non-comercial use only. \n% Copyright 2018, Department of Electronic Information Engineering, Nanchang University. \n% SADN - Synthesis-analysis deconvolutional network \n\n\n#### Other Related Projects\n\n * Predual dictionary learning (PDL) / augmented Lagrangian multi-scale dictionary learning(ALM-DL) [**[Paper]**](http://www.escience.cn/people/liuqiegen/index.html;jsessionid=5E20FEE3694E8BB3249B64202A8E25C8-n1) [**[Code]**](https://github.com/yqx7150/PDL_ALM_DL_code) \n\n * Adaptive dictionary learning in sparse gradient domain for image recovery [**[Paper]**](https://ieeexplore.ieee.org/document/6578193/) [**[Code]**](https://github.com/yqx7150/GradDL) \n\n * Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating [**[Paper]**](https://ieeexplore.ieee.org/document/6492252) [**[Code]**](https://github.com/yqx7150/TBMDU) \n\n * Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction [**[Paper]**](http://html.rhhz.net/ZDHXBZWB/html/2017-10-1841.htm) [**[Code]**](https://github.com/yqx7150/GradCSC)\n\n * Field-of-Experts Filters Guided Tensor Completion [**[Paper]**](https://ieeexplore.ieee.org/document/8291751/similar#similar) [**[Code]**](https://github.com/yqx7150/FoE_STDC) [**[Slide]**](https://github.com/yqx7150/EDAEPRec/tree/master/Slide)\n\n * Sparse and dense hybrid representation via subspace modeling for dynamic MRI [**[Paper]**](https://www.sciencedirect.com/science/article/abs/pii/S089561111730006X) [**[Code]**](https://github.com/yqx7150/SDR)\n\n * IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI [**[Paper]**](https://ieeexplore.ieee.org/document/8918016) [**[Code]**](https://github.com/yqx7150/IFR-Net-Code)\n\n * A Comparative Study of CNN-based Super-resolution Methods in MRI Reconstruction and Its Beyond [**[Paper]**](https://sciencedirect.xilesou.top/science/article/abs/pii/S0923596519302358) [**[Code]**](https://github.com/yqx7150/DCCN)\n\n------\n\n## How to use this image\n\n#### Start\n\n```\ndocker run -it [Image ID] /bin/bash\n```\n\n#### Run the SADN code\n\n```\ncd /home/Matlab/SADN-master\nmatlab -nodesktop -nosplash -r SADN_realvalue_demo\n```\n\n","has_starred","hub_user","immutable_tags_settings",{"_71":11,"_72":73},"enabled","rules",[74],".*","is_automated","permissions",{"_78":17,"_79":11,"_80":11},"read","write","admin","user","storage_size",16374590036,"orgData","recentTags",[87],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":96,"_46":114,"_115":90,"_116":29,"_117":52,"_53":118,"_119":120,"_121":105,"_122":114,"_123":62,"_124":17},"content_type","creator",10416342,"full_size",16374584561,"id",108436723,"images",[97],{"_98":99,"_100":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":92,"_59":62,"_113":-5},"architecture","amd64","digest","sha256:55a697a9678b1b7a560d685c9b1eb6efafa98e6594dd282349c6c69169e82d34","features","","last_pulled","2026-09-14T15:38:02.345792535Z","last_pushed","2020-07-14T09:07:31Z","os","linux","os_features","os_version","size","variant","2020-07-14T09:07:30.262562Z","last_updater","last_updater_username","media_type","1.0","repository",9445953,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"routes/_layout.r.$namespace.$reponame.tags",{"_34":136,"_143":144,"_132":153,"_154":11},{"_36":137,"_38":138,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":139,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":140,"_75":11,"_76":142,"_81":29,"_82":83},[],[40],[52],{"_71":11,"_72":141},[74],{"_78":17,"_79":11,"_80":11},"tags",{"_145":60,"_146":-5,"_147":-5,"_148":149},"count","next","previous","results",[150],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":151,"_46":114,"_115":90,"_116":29,"_117":52,"_53":118,"_119":120,"_121":105,"_122":114,"_123":62,"_124":17},[152],{"_98":99,"_100":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":92,"_59":62,"_113":-5},[],"canDeleteTags","actionData","errors"]

optimisticbear/matlabsadn

Tags for optimisticbear/matlabsadn