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報(bào)告題目：Rank-One Prior: Real-Time Scene Recovery

主講人：曾鐵勇教授（香港中文大學(xué)）

時(shí)間：2023年10月14日（周六）9:00 a.m.

地點(diǎn)：北院卓遠(yuǎn)樓305會(huì)議室

主辦單位：統(tǒng)計(jì)與數(shù)學(xué)學(xué)院

摘要：Scene recovery is a fundamental imaging task with several practical applications, including video surveillance and autonomous vehicles, etc. In this talk, we provide a new real-time scene recovery framework to restore degraded images under different weather/imaging conditions, such as underwater, sand dust and haze. A degraded image can actually be seen as a superimposition of a clear image with the same color imaging environment (underwater, sand or haze, etc.). Mathematically, we can introduce a rank-one matrix to characterize this phenomenon, i.e., rank-one prior (ROP). Using the prior, a direct method with the complexity O(N) is derived for real-time recovery. For general cases, we develop ROP + to further improve the recovery performance. Comprehensive experiments of the scene recovery illustrate that our method outperforms competitively several state-of-the-art imaging methods in terms of efficiency and robustness.

主講人簡(jiǎn)介：

曾鐵勇,博士，教授,，香港中文大學(xué)數(shù)學(xué)人工智能中心主任,，科技部戰(zhàn)略性科技創(chuàng)新合作重點(diǎn)專項(xiàng)首席科學(xué)家，2021年香港數(shù)學(xué)會(huì)青年學(xué)者獎(jiǎng)獲得者,。于2000年本科畢業(yè)于北京大學(xué),，2007年巴黎第十三大學(xué)獲得博士學(xué)位。主要研究領(lǐng)域包括數(shù)據(jù)科學(xué),，優(yōu)化理論,，圖像處理，反問(wèn)題等,。在優(yōu)化,、圖像處理、反問(wèn)題的國(guó)際一流雜志SIAM Journal on Imaging Sciences, SIAM Journal on Scientific Computing, International Journal of Computer Vision, Journal of Scientific Computing,，IEEE PAMI,，IEEE TNNLS，IEEE Transactions on Image Processing,，Pattern Recognition,，Journal of Mathematical Imaging and Vision等發(fā)表過(guò)百篇SCI論文,。