An Efficient Two-Phase L-1-TV Method for Restoring Blurred Images with Impulse Noise
Publication in refereed journal

香港中文大學研究人員

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摘要A two-phase image restoration method based upon total variation regularization combined with an L-1-data-fitting term for impulse noise removal and deblurring is proposed. In the first phase, suitable noise detectors are used for identifying image pixels contaminated by noise. Then, in the second phase, based upon the information on the location of noise-free pixels, images are deblurred and denoised simultaneously. For efficiency reasons, in the second phase a superlinearly convergent algorithm based upon Fenchel-duality and inexact semismooth Newton techniques is utilized for solving the associated variational problem. Numerical results prove the new method to be a significantly advance over several state-of-the-art techniques with respect to restoration capability and computational efficiency.
著者Chan RH, Dong YQ, Hintermuller M
期刊名稱IEEE Transactions on Image Processing
出版年份2010
月份7
日期1
卷號19
期次7
出版社Institute of Electrical and Electronics Engineers (IEEE)
頁次1731 - 1739
國際標準期刊號1057-7149
電子國際標準期刊號1941-0042
語言英式英語
關鍵詞Fenchel duality; image deblurring; impulse noise; L-1 data fitting; noise detector; semismooth Newton method; total variation regularization
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2020-27-10 於 00:19