Image enhancement based on fractional differentials and wavelet decomposition

• 1、School of Communication Engineering,Chongqing University

Abstract：Starting from the characteristic of fractional differentials and wavelet decomposition, a method of image enhancement was proposed, which firstly used wavelet decomposition method to decompose image,and reconstructed low-and-high frequency in correponding layer image, then it utilized the proposed new fractional differential mask operator on the eight symmeric directions to apart process the detached low-frequency, high-frequency and primal image signals. At the same time, it merged the results so that it could furthest preserve the low-frequency contour feature in those smooth areas, and nonlinely keep high-frequency marginal feature in those areas that gray-level changed greatly,and also enhance texture details in those areas that gray-level did not change evidently. Experimental comparison results show that the effect of enhancing complex texture details in smooth area by this method using new operator appears better than several other methods.

Keywords： fractional differentials wavelet decomposition image enhancement cover module