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“九章講壇”第428講 — 文有為 教授

日期:2021-07-19點(diǎn)擊數(shù):

應(yīng)yl7703永利官網(wǎng)黃玉梅教授的邀請(qǐng),湖南師范大學(xué)yl7703永利官網(wǎng)文有為教授將于近期訪問我校并作學(xué)術(shù)報(bào)告。歡迎廣大師生參加。

報(bào)告題目:Cartoon and Texture Decomposition for Color Image in Opponent Color Space

時(shí)    間:2021年7月21日9:00

地    點(diǎn):理工樓518報(bào)告廳

摘    要:The Meyer model has been successful applied to decompose cartoon image and texture image for the gray scale image.In this talk, we extend this model to the color image in the opponent color space, which is closer to human perception than the RGB space.The total variation norm and the G-norm are respectively modeled to capture the cartoon image and the texture image in an energy minimization method.

The color image is viewed as a vectore-valued vector, its total variation norm and G-norm depend on the choice of the definition of the L1norm and Lnorm of the vectored-value vector.We introduce the total variation norm and G-norm in the opponent color space.In order to handle the numerical difficulties arised by the non-differentiability of the total variation norm and G-norm, they are represented by the dual formulations.Then the resulting minimization problem can be reformulated to a minimax problem.A first-order primal-dual algorithm is readily applied to compute the saddle point of the minimax problem.Numerical results are shown the performance of the proposed model.


文有為教授簡(jiǎn)歷

文有為,湖南師范大學(xué)yl7703永利官網(wǎng)教授,博導(dǎo),湖南省計(jì)算數(shù)學(xué)與應(yīng)用軟件學(xué)會(huì)副理事長(zhǎng)。獲香港大學(xué)博士學(xué)位,曾在新加坡國(guó)立大學(xué)、香港中文大學(xué)從事訪問研究員、博士后等工作。主要研究方向?yàn)榭茖W(xué)計(jì)算、數(shù)字圖像處理與計(jì)算機(jī)視覺,在SIAM J. Sci. Comput., SIAM J. Imaging Sciences, Multiscale Model. Simul., SIAM J. Matrix Anal., IEEE Trans. Image Process.等期刊發(fā)表論文30余篇,主持國(guó)家自然科學(xué)基金4項(xiàng)。以第一完成人身份,獲2019年湖南省自然科學(xué)獎(jiǎng)二等獎(jiǎng)。


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萃英學(xué)院

2021年7月19日