Title :
Variational Shape Preserving Contrast Enhancement
Author :
Du, Zhen-Long ; Li, Xiao-Li ; Zhang, Ya-Fen
Author_Institution :
Comput. & Commun. Sch., Lanzhou Univ. of Sci. & Technol.
Abstract :
Existing contrast enhancement methods based on the partial differential equation are good at process gray image, while for color image, they can handle limited luminance range. In this paper, we propose a variational method to enhance the contrast of color image, which permits wide luminance range. The connected component is employed for preserving the shape. The gradient and spatial local features are exploited for holding more details. The enhancement procedure avoids the gamut problem. The results show that the proposed approach can efficiently enhance the contrast of color image
Keywords :
brightness; image colour analysis; image enhancement; partial differential equations; variational techniques; color image; gray image; luminance range; partial differential equation; spatial local features; variational shape preserving contrast enhancement; Adaptive equalizers; Biomedical imaging; Cameras; Color; Cybernetics; Displays; Dynamic range; Electronic mail; Histograms; Machine learning; Partial differential equations; Shape; Contrast enhancement; Dynamic range; Variational;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258802