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南京大學楊俊鋒教授學術報告

發布:2019-09-28 10:30?????? 作者:admin??????來源:未知

報告題目:A TV-SCAD approach for image deblurring with impulsive noise

人:南京大學 楊俊鋒 教授

報告時間:2019928日(周六)10:30-11:30

報告地點:清水河校區主樓A1-512

人:張文星 副教授

 

報告摘要:

We consider image deblurring problem in the presence of impulsive noise. It is known that total variation (TV) regularization with L1-norm penalized data fitting works reasonably well only when the level of impulsive noise is relatively low. In this paper, we propose to combine TV regularization with nonconvex smoothly clipped absolute deviation (SCAD) penalty for data fitting. Our motivation is simply that data fitting should be enforced only when an observed data is not severely corrupted, while for those data more likely to be severely corrupted, less or even null penalization should be enforced. A difference of convex functions algorithm is adopted to solve the nonconvex TVSCAD model, resulting in solving a sequence of TVL1-equivalent problems, each of which can then be solved efficiently by the alternating direction method of multipliers. Numerically, experimental results are given to show that the TVSCAD approach improves those of the TVL1 significantly, especially for cases with high level impulsive noise, and is comparable with the recently proposed iteratively corrected TVL1 method.

 

報告人簡介:

楊俊鋒,博士,南京大學數學系教授,先后師從中國科學院袁亞湘院士、南京大學何炳生教授、萊斯大學張寅教授。20097月起在南京大學數學系工作,主要從事最優化計算方法及其應用研究,在SIAM系列、Mathematics of Computation真人ag平台棋牌游戏官网、Computational Optimization and Applications等雜志上發表論文10余篇,開發圖像去模糊軟件包FTVd, 壓縮感知一模解碼軟件包YALL1, 核磁共振圖像復原軟件包RecPF等,被累計下載上萬次。2012 年入選教育部新世紀優秀人才支持計劃真人ag平台棋牌游戏官网,2016年獲中國運籌學會青年科技獎與江蘇省工業與應用數學青年獎,2019年獲得國家優秀青年基金資助。


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