New Automatic Color Equalization Algorithm Based on Lateral Inhibition Mechanism

摘要

For solving the problems of exposure imbalance and low contrast ratio in photogrammetry and visible light remote sensing, as well as the standard automatic color equalization algorithm, which does not fully take into account the color characteristics of some regions, this paper improves the standard automatic color equalization algorithm based on the non-circulating lateral inhibition model that simulate human visual characteristics and Gaussian distribution. The corrected luminance value of the target point is calculated by using the non-circulating lateral inhibition network model, and the Gaussian distribution is used to select the sampling points with higher correlation, which reduces the complexity of the algorithm.