Sand-Dust Image Enhancement Based on Color Correction And Haze Removal

This article presents a dust image enhancement method based on color correction and haze removal. For color correction, a novel image prior---histogram similarity prior is proposed. With this image prior, image color is recovered by histogram matching. For contrast enhancement, a haze removal method based on boundary condition constraints and Retinex theory is developed, where boundary condition constrains is used for initial transmission map estimation, and Retinex is employed for reducing the effect of the incident light on output images. Considerable evaluations on both synthetic and real dust images show that this method performs favorably against other existing similar methods.