Image Enhancement Algorithm Based on Retinex Theory
基于Retinex理论的图像增强算法

Input color image is first divided into three pictures according to its R, G and B values, and each one represents the intensity of reflected light with long-, medium-and short-wavelength. In order to determine the color of each pixel, these three pictures are then processed independently to calculate its lightness. Finally, color in Retinex color space is mapped to normal RGB space to reconstruct enhanced image. Study shows the resulting image often has better color fidelity and larger dynamic range. Computer simulation results demonstrate that it is possible to achieve very good performance by making use of this theory correctly.