Color Improvement of Retinex Image Using the Maximum Color Difference Signal Table

Abstract

Retinex algorithm enhances the contrast of image through visibility improvement. However, the conventional Retinex methods may produces color distortions due to error of hue representation and over-saturation since the methods work in RGB color space. In this paper, we propose a new Retinex algorithm with color correction, which improves contrast by using MSR(Multi-Scale Retinex) working in YCbCr color space and adaptively compensates the color saturation based on the maximum color difference table. Our algorithm maps the color difference signals to the correct gamut to prevent over-saturation phenomenon by considering the correlation between luminance and hue dependent saturation. Simulations results show that the proposed method gives better color improvement compared to the conventional methods.

Illuminant Color Estimation Method Using Valuable Pixels

“…Ⅰ. 서 론 디지털 영상처리의 여러 분야에서 영상의 색채는 중요한 정보로서 사용된다 [1][2] [3] . 사람의 경우 색상을 인지할 때 색 순응으로 인해서 광원 색에 따라서 장면의 색이 달라진다 하더라도 그 광원에 익숙해지면 물체의 고유한 색상을 인 식할 수 있다 [4] .…”