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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: SSIM-inspired image restoration using sparse representation | EURASIP Journal on Advances in Signal Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. SSIM-inspired image restoration using sparse representation EURASIP Journal on Advances in Signal Processing 2012 2012 16 doi 10.1186 1687-6180-2012-16 Abdul Rehman abdul.rehman@uwaterloo.ca Mohammad Rostami m2rostami@uwaterloo.ca Zhou Wang zhouwang@ieee.org Dominique Brunet dbrunet@uwaterloo.ca Edward R Vrscay ervrscay@uwaterloo.ca ISSN 1687-6180 Article type Research Submission date 6 June 2011 Acceptance date 20 January 2012 Publication date 20 January 2012 Article URL http asp.eurasipjournals.com content 2012 1 16 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP Journal on Advances in Signal Processing go to http asp.eurasipjournals.com authors instructions For information about other SpringerOpen publications go to http www.springeropen.com 2012 Rehman etal. licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. SSIM-inspired image restoration using sparse representation Abdul Rehman 1 Mohammad Rostami1 Zhou Wang1 Dominique Brunet2 and Edward R Vrscay2 1Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada 2Department of Applied Mathematics University of Waterloo Waterloo ON N2L 3G1 Canada Corresponding author abdul.rehman@uwaterloo.ca Email addresses MR m2rostami@uwaterloo.ca ZW zhouwang@ieee.org DB dbrunet@uwaterloo.ca ERV ervrscay@uwaterloo.ca 1 Abstract Recently sparse representation based methods
