学术报告会：A parallel operator splitting algorithm for solving constrained total-variation retinex

报告题目：A parallel operator splitting algorithm for solving constrained total-variation retinex

报告人：韩德仁(北京航空航天大学 教授/博导 国家杰青)

报告时间：7月8日晚上19:30-21:00

腾讯会议ID：393 413 776无密码

个人简介：

韩德仁，现任北京航空航天大学数学科学学院教授，博士生导师，国家杰出青年基金获得者。1997年和2002年分别获南京大学学士和博士学位。2002年—2017年在南京师范大学工作，之后在北航工作至今。任教育部高等学校数学类专业教指委秘书长、中国运筹学会理事、数学规划分会常务理事。从事最优化理论与算法及其在交通规划、图像处理等领域的应用研究，发表学术论文百余篇。

报告摘要:An ideal image is desirable to faithfully represent the real-world scene. However, the observed images from imaging system are typically involved in the illumination of light. As the human visual system (HVS) is capable of perceiving identical color with spatially varying illumination, retinex theory is established to probe the rationale of HVS on perceiving color. In the realm of image processing, the retinex models are devoted to diminishing illumination effects from observed images. In this talk, I will introduce a parallel operator splitting algorithm tailored for the constrained total-variation retinex model, in which all the resulting subproblems admit closed form solutions or can be tractably solved by some subroutines without any internally nested iterations. The global convergence of the novel algorithm is analyzed on the perspective of variational inequality in optimization community. Preliminary numerical simulations demonstrate the promising performance of the proposed algorithm.