Novel Method of Color Image Enhancement Based on Wavelet Analysis

Color images usually converted to gray image firstly in traditional image enhancement algorithms. The detail information was easily lost and at the same time, these algorithms enhanced noise while they enhanced image, which lead to the descent of information entropy. With the combination of the characteristics of multi-scale and multi-resolution of wavelet transform and the pre-dominance of histogram equalization, a novel method of color image enhancement based on hue invariability with characteristics of human visual color consciousness in HIS color pattern was presented here. The experimental results showed that this new algorithm can enhance color images effectively and cost less time.