Abstract

A method of digital color-image processing is described that leads to the equalization of the brightness histogram and of conditional saturation histograms for each hue area. Means for solving problems that arise in the practical realization of the method are considered. Color equalization can be directly used for preparation of color images for interpretation and for the enhancement of color pictures for visual quality. In the first case, application of the method can result in an increase of the visibility of objects that are initially almost indistinguishable. In the second case it leads to multicolored pictures with unchanged color features.

© 1986 Optical Society of America

Color brightness model and its imaging applications

Ying-Yi Li and Hsien-Che Lee
J. Opt. Soc. Am. A 36(3) 377-386 (2019)

Hue-preserving and saturation-improved color histogram equalization algorithm

Ki Sun Song, Hee Kang, and Moon Gi Kang
J. Opt. Soc. Am. A 33(6) 1076-1088 (2016)

Processing halftone color images by vector space methods

Li Liu, Yongyi Yang, and Henry Stark
J. Opt. Soc. Am. A 23(2) 247-257 (2006)

Simultaneous color constancy

Lawrence Arend and Adam Reeves
J. Opt. Soc. Am. A 3(10) 1743-1751 (1986)

Underwater image recovery based on water type estimation and adaptive color correction

Yang Zhang, Tao Liu, Zhen Shi, and Kaiyuan Dong
J. Opt. Soc. Am. A 40(12) 2287-2297 (2023)