Title :
Illumination Estimation Based Color Contrast Enhancement
Author :
Heechul Han ; Hyunsuk Hong
Author_Institution :
Digital Media & Commun. R&DCenter, Samsung Electron., Suwon, South Korea
Abstract :
We present the framework for a color contrast enhancement using an illumination estimation, color balancing and color dynamic range expansion based on characteristics of a object reflectance, effect of illumination and human face color depending on human race. The method aims to emulate the way in which the human visual system discriminates original color and opposite color for increasing color contrast. The proposed method is effective for vivid color restoration and suppression of artifacts by proposed parameter weighting control under various illumination conditions.
Keywords :
image colour analysis; image enhancement; image restoration; lighting; reflectivity; artifacts suppression; color balancing; color contrast enhancement; color dynamic range expansion; human face color; human visual system; illumination conditions; illumination estimation; object reflectance; parameter weighting control; vivid color restoration; Dynamic range; Estimation; Face; Humans; Image color analysis; Light sources; Lighting; color constancy; color contrast; color enhancement; illumination estimation;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on
Conference_Location :
Piraeus
Print_ISBN :
978-1-4673-1741-2
DOI :
10.1109/IIH-MSP.2012.132