Abstract：Based on wavelet analysis, a new image UM adaptive enhancement algorithm is presented with the combination of the analysis of a human visual system model and the UM algorithm based upon wavelet resolution. The outputs of Laplace core g(·) with a 3×3 pixel framework are used to check the local dynamic behavior of images so as to guarantee the output optimum of the adaptive framework comparator. The adjustment about human visual model coefficients regards MTF as an objective function, then makes a postprocessing upon image reconstruction vectors so that the better effect of image enhancement to the human visual system can be obtained.
李朝晖，陈明. 应用小波和视觉特征分析的图像增强*[J]. 模式识别与人工智能, 2006, 19(2): 227-231.
LI ZhaoHui, CHEN Ming. Image Enhancement Based on Wavelet Analysis and Human Visual System(HVS). , 2006, 19(2): 227-231.
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2006, Vol. 19 
