Image enhancement masks based on fractional differential
基于分数阶微分的图像增强模板

To take full advantage of pixels around the target pixel, this paper constructed a new fractional differential mask, according to the characteristics of high autocorrelation about 2-D digital image. Firstly, it deduced the fractional differential coefficients on the basis of Riemann-Liouville definition, and then filled eight differently directional masks. Meanwhile, it introduced entropy in information theory to describe quantitatively the retention of image texture when enhanced image. Simulation results indicate that, compared with traditional methods, this algorithm can make a better image enhancement and retain image texture highly, especially for the important application of the texture.