Mine image enhancement algorithm based on bilateral filtering and gamma correction

Abstract

Aiming at the problems of uneven illumination, detail loss and color distortion of video images caused by low illumination and contrast of mine environment, a mine image enhancement algorithm based on bilateral filtering function is proposed. The algorithm first converts the image from RGB space to HSV space to avoid destroying the color space, extracts the illuminance layer and reflection layer of the image according to the classical Retinex theory combined with bilateral filtering with edge retention, adaptively adjusts the lighting by gamma function, and uses the CLAHE algorithm to enhance the overall contrast. Experimental results show that the proposed algorithm is superior to other commonly used algorithms in terms of visual effects, information entropy, average gradient, standard deviation, etc., which effectively improves the overall brightness and contrast of the image and improves the problems of detail loss and color distortion and realizes the effective enhancement of mine images.