Local retouching of degraded images by histogram-based similarity evaluation
Lin Fu, Shun’ichi Kaneko, Takayuki Tanaka · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Quality of local regions in the scene could be deteriorated by the effects of ill-conditioned lighting effects and reflection. We develop a method to improve the quality of local regions. The local region of the image is firstly selected by an algorithm that is based on similarity evaluation of the region. Then the histogram of brightness and saturation of the local region are expanded using the histogram equalization, both the brightness and saturation are improved. In the next step, based on the distance from the point selected by user, the improved data are combined with the original image. The local part of the image is naturally merged with the surrounding scenes.