A mixed enhancement algorithm of video monitoring image on fully-mechanized coal mining face

In view of problem of longitudinal stripe noise existed in single dimension Retinex algorithm, a mixed enhancement algorithm of image was proposed. The algorithm uses template denoising algorithm to reduce longitudinal stripe noise of conventional single scale Retinex algorithm, and adopts Laplace operator to enhance image details, so as to improve image quality. The method was verified by experiment using actual monitoring images under different working conditions of fully-mechanized coal mining face. The results show that the algorithm has characteristics of high image resolution, big contrast and optimal image detail enhancement.