Simultaneous cartoon and texture reconstruction for image restoration by bivariate function
Publication in refereed journal

香港中文大學研究人員

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摘要We study the simultaneous cartoon and texture reconstruction problem. We propose a new model to approximate the cartoon and texture part by a sparse linear combination of some bases. A bivariate function is employed as the cost function. One of the variables is the decomposition image and the other is the sparse representation of the decomposition image. An alternating minimization algorithm is used to solve the minimization problem. We prove that the algorithm converges for both the l(1)-norm and the l(0)-norm. Numerical simulations are given to illustrate the efficiency of our method.
著者Wen YW, Chan RH, Ching WK
期刊名稱Applicable Analysis
出版年份2011
月份1
日期1
卷號90
期次8
出版社Taylor & Francis: STM, Behavioural Science and Public Health Titles
頁次1275 - 1289
國際標準期刊號0003-6811
語言英式英語
關鍵詞cartoon; image; sparse; texture; total variation
Web of Science 學科類別Mathematics; Mathematics, Applied; MATHEMATICS, APPLIED

上次更新時間 2020-17-10 於 00:33