Color constancy enhancement for multi-spectral remote sensing images

Remote sensing image enhancement occupies a peculiar position in remote sensing image processing and is an important preprocessing step for subsequent analysis. Numerous image enhancement techniques are available for remote sensing image enhancement. In this paper, the color constancy technique is introduced, and a novel color constancy remote sensing images enhancement algorithm is proposed. This algorithm can not only restore more details in the dark area of the image, but also self-adaptive to the luminance conditions. Based on the linear transform, the proposed algorithm contains two parts: (1) the scale parameter is calculated by the adaptive quadratic function with gamma correction to enhance the luminance; (2) the shifting parameter is used to restore the edge details. The experiments are conducted using images downloaded from NASA´s website. Experimental results indicated that the proposed algorithm performs much better in preserving the hue and saturation and avoiding color distortion, especially in the dark area.