Study of Enhancement Technology of Color Image Based on Adaptation and Nonlinear
Loss of image features are leaded by Regions with too bright or too dark of image with noise. An adaptive and nonlinear algorithm for color image enhancement is proposed in the paper. which consists of five stages: Converting color images to grayscale images; Threshold value is ascertained by HVS and position of noise is ascertained by method of Sliding Window; According to local characteristic of position of noise, median filtering is executed by weighted template; The following thing is that image is separated into apart; At last image is adaptively enhanced according to idea of Retinex and color of image is reverted. Experiments show that ability of de-noising can be effectively improved by the algorithm and contrast of image can be improved.
T. L. Peng et al., "Study of Enhancement Technology of Color Image Based on Adaptation and Nonlinear", Advanced Materials Research, Vol. 267, pp. 234-240, 2011