An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization
Publication in refereed journal

香港中文大學研究人員

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其它資訊
摘要Total variation regularization has good performance in noise removal and edge preservation but lacks in texture restoration. Here we present a texture-preserving strategy to restore images contaminated by blur and noise. According to a texture detection strategy, we apply spatially adaptive fractional order diffusion. A fast algorithm based on the half-quadratic technique is used to minimize the resulting objective function. Numerical results show the effectiveness of our strategy.
著者Chan RH, Lanza A, Morigi S, Sgallari F
期刊名稱Numerical Mathematics
出版年份2013
月份2
日期1
卷號6
期次1
出版社GLOBAL SCIENCE PRESS
頁次276 - 296
國際標準期刊號1004-8979
電子國際標準期刊號2079-7338
語言英式英語
關鍵詞deblurring; fractional order derivatives; Ill-posed problem; regularizing iterative method
Web of Science 學科類別Mathematics; MATHEMATICS; Mathematics, Applied; MATHEMATICS, APPLIED

上次更新時間 2020-20-10 於 01:17