An Adaptive Foggy Image Enhancement Algorithm Based on Fuzzy Theory and CLAHE
Yang Xiao-min · Microelectronics & Computer · 2012
In order to enhance the contrast of foggy images,a new self-adaptive algorithm for foggy image based on the fuzzy theory and CLAHE was proposed.The algorithm first improve the contrast of foggy images adaptively in the fuzzy region by use of the mean and standard deviation,and then improve the luminance and contrast by use of contrast-limited adaptive histogram equalization on the value of images.Experimental results demonstrate that the proposed algorithm can effectively improve the visual effect of foggy images by combining the methods of fuzzy region and spatial domain.