New haze removal scheme and novel measure of enhancement

Present article addresses novel method to get rid of haze effect in color and gray image enhancement. Proposed scheme works for different hazing cases such as smoky and foggy images. The basic steps of the presented algorithm are: at first an optimized histogram mapping function is applied on original images. In the second step, every channel is added with a combination of original and the related filtered channel. A coordinate transformation from RGB color model to HSV and applying CLAHE enhancement on the v-channel would be assigned at the end of procedure. The key advantages of the proposed algorithm are: it is very simple and based on contrast and color enhancement. Besides, in removal of haze from color and gray images, there is no need to consider any mathematical model for the airlight. In this article, a novel measurement for image enhancement is also introduced. The proposed measure attempts to use all data instead of using just max and min in local blocks obtained by image splitting. Comparisons with well-known NASA Retinex algorithm and recently published methods have shown that our achievements are more effective in removal haze image enhancement.