Correction algorithm based on supervised color constancy for low-illumination images

A new surveillance color constancy algorithm is proposed. It is used in machine vision recognition to solve illumination adjustment due to color temperature variation. According to the human visual contrast resolution limit rule, the parabola function is adopted to take brightness gain. The image illumination values are mapped into superior experimental scope. Experiment results show that the algorithm can achieve the desired visual adjustment effect, and enhance the recognition rate effectively. It does not need to transform the RGB to another color space, so the computation can be faster.