Progressive Image Color Neutralization Based on Adaptive Histogram Clustering
Current digital devices lack the ability to adapt to various lighting conditions, and this makes image color auto adjustment increasingly important. In this paper, we present a simple and effective progressive image color neutralization approach to adjust the image bright region, dark region and mid region independently. First we neutralize the bright region and dark region based on single representative color alignment, then multiple representative colors of the mid region are selected by an adaptive histograM clustering algorithm, and the adjustment of the mid region is based on the alignment of multiple representative colors. The adjustment is done by simple piecewise linear mapping. Experiments show that our approach can not only remove unwanted color cast effectively, but also maintain the original color tone as much as possible.
Jian Zhang Rui Sun Chuan Yang Mingli Song
College of Computer Science & Technology Zhejiang University, Hangzhou, 310027
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
113-118
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）