Darkroom image enhancement algorithm based on SSR adaptive adjustment

Aiming at the problems of poor brightness effect and poor recognition, a darkroom image enhancement algorithm based on Retinex algorithm is proposed, which replaces Gaussian filter with bilateral filter and adaptively adjusts the saturation of the darkroom image. The algorithm firstly converts the darkroom image from the three-primary color model (RGB) to the hue saturation value model (HSV). The Retinex algorithm is used to obtain the incident component and the reflection component of the darkroom image.The reflection component is sharpened by Laplace algorithm to enhance the brightness of the image and retain the color sense of the original image, and the incident component is processed by bilateral filtering. In this way, the visual display effect of images can be improved. Finally, the adaptive adjustment strategy of correlation coefficient is adopted for the saturation component in HSV space, so that the saturation component can adjust itself and maintain the global color of the image. Compared with histogram equalization (HE) algorithm and single-scale Retinex(SSR) algorithm, this algorithm can effectively solve the problems of color loss and edge information loss in darkroom images.