Image enhancement based on the statistics of visual representation

This paper introduces a novel algorithm to image enhancement that exploits the multi-scale wavelet and statistical characters of visual representation. Processing includes the global dynamic range (brightness) correction and local contrast adjustment, whose parameters are picked automatically by the information contained in the image itself. Experimental results show that the new algorithm outperforms other many existing image enhancement methods and is highly resilient to the effects of both the image-source variations.