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《Opto-Electronic Engineering》 2016-11
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Single Image Super-resolution Reconstruction via Supervised Multi-dictionary Learning

WU Congzhong;HU Changsheng;ZHANG Mingjun;XIE Zhenzhu;ZHAN Shu;School of Computer and Information, Hefei University of Technology;  
In order to overcome the problems that the dictionary training process is time-consuming and the reconstruction quality couldn't meet the applications, we propose a super resolution reconstruction algorithm which based on a supervised KSVD multi-dictionary learning and class-anchored neighborhood regression. Firstly, the Gaussian mixture model clustering algorithm is employed to cluster the low resolution training features; Then we use the supervised KSVD algorithm to generate each subclass dictionary and a discriminative-linear classifier simultaneously; Finally, each input feature block is categorized by the classifier and reconstructed by the corresponding subclass dictionary and class-anchored neighborhood regression. Experimental results show that our method obtains a better result both on subjective and objective compare with other methods, and has a better adaptability to face image.
【Key Words】: Gaussian mixture model supervised dictionary learning super-resolution sparse representation
【Fund】: 国家自然科学基金面上项目(61371156);; 安徽省科技攻关项目(1401B042019)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 JIANG Jianguo;CHEN Yayun;QI Meibin;WANG Chao;School of Computer & Information, Hefei University of Technology;;Image Super-resolution Reconstruction Based on Self-similarity and Sparse Representation[J];光电工程;2015-12
2 SU Heng 1, 2 ZHOU Jie 1 ZHANG Zhi-Hao 11. Department of Automation, Tsinghua University, Beijing 100084 2. Beijing Hulu Inc., Beijing 100084;Survey of Super-resolution Image Reconstruction Methods[J];自动化学报;2013-08
【Co-citations】
Chinese Journal Full-text Database 8 Hits
1 LIU Xue-jun;HU Jia-pei;WANG Mei-zhen;ZHOU Liang-chen;Key Laboratory of Virtual Geographic Environment,Nanjing Normal University,Ministry of Education;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application;;Video Acquisition and Processing for VideoGIS[J];现代测绘;2017-01
2 LU Wanyun;WANG Jizhou;School of Geomatics,Liaoning Technical University;Chinese Academy of Surveying and Mapping;;Survey of super resolution processing method of remote sensing image[J];测绘科学;2016-12
3 ZHOU Lin-yuan;SU Cai-xia;CAO Yong-feng;School of Mathematics and Computer Science,Guizhou Normal University;;Image super-resolution via sparse representation[J];计算机工程与设计;2016-12
4 WU Congzhong;HU Changsheng;ZHANG Mingjun;XIE Zhenzhu;ZHAN Shu;School of Computer and Information, Hefei University of Technology;;Single Image Super-resolution Reconstruction via Supervised Multi-dictionary Learning[J];光电工程;2016-11
5 Xu Yanhua;Li Rong;Wang Huajun;Xu Pingping;Taihu University of Wuxi;School of Information Science and Engineering,Southeast University;;A Single Frame Super Resolution Algorithm Based on ANNF and Structural Similarity[J];微型电脑应用;2016-10
6 Yang Mei;College of Electronic and Information Engineering,Chongqing Three Gorges University;;VIDEO SUPER-RESOLUTION RECONSTRUCTION BASED ON SELF-ADAPTIVE MOTION ESTIMATION[J];计算机应用与软件;2016-10
7 Ye Kuntao;Guo Zhenlong;He Wenxi;College of Science,Jiangxi University of Science and Technology;;COMPRESSED SENSING SUPER-RESOLUTION RECONSTRUCTION BASED ON CURVELET TRANSFORM[J];计算机应用与软件;2016-10
8 LI Xin;CUI Ziguan;ZHU Xiuchang;Image Processing and Image Communication Lab.,Nanjing University of Posts and Telecommunications;;Survey of super-resolution algorithms[J];电视技术;2016-09
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