A parallel operator splitting algorithm for solving constrained total-variation retinex
[TMCSC]
July 24, 2020 14:30-15:30
腾讯会议（线上）
SPEAKER
韩德仁 （北京航空航天大学）
ABSTRACT
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.
ORGANIZERS
黄南京（四川大学）
寇 辉（四川大学）
连 增（四川大学）
张德学（四川大学）
张伟年（四川大学）
SUPPORTED BY
国家天元数学西南中心
四川大学数学学院
VIDEO
- A parallel operator splitting algorithm for solving constrained total-variation retinex
- 14:30 - 15:30, 2020-07-24 at 腾讯会议（线上）
- 韩德仁 （北京航空航天大学）