Title: A Mini-Course on Mathematical Image Processing
Abstract: Lecture 3: Image contrast enhancement, part I
In this lecture, we will introduce some techniques for contrast enhancement:
(1) Histogram equalization (HE); (2) Automatic color equalization (ACE); (3) Simplest color balance (SCB).
Lecture 4: Image contrast enhancement, part II
In this lecture, we will introduce some variational models for contrast enhancement: (1) Variational models of Morel-Petro-Sbert; (2) An adaptive variational model of Hsieh-Shao-Yang.