Abstract
contrast and poor quality are main problems in the production of images. By using the wavelet transform and HIS color analysis, a new idea is proposed. Color images are usually converted to gray image first in traditional image enhancement algorithms. The detail information was easily lost and at the same time these algorithms enhance noise while they enhance image, which lead to the descent of information entropy. With the combination of the characteristics of multi-scale and multi-resolution of Daubechies 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 is presented here. The experimental results showed that this new algorithm can enhance color images effectively and cost less time.
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