一种优化参数的图像增强算法

摘要

为了解决图像成像、复制、扫描、传输和显示时出现的图像模糊问题,在采用改进的同态滤波进行图像增强的基础上,重点应用差分进化算法对增强参数进行优化来提高图像的视觉效果.证明了差分进化能够找到最优的各层子图的增益和最优的结构元素大小.通过与基于傅里叶变换、小波变换的同态滤波图像增强法的对比,验证了所提方法能获得更好的视觉效果.%In order to solve the image blurring problem caused by copy, scan, transmit and display, et al, on the basis of the image enhancement method by improved homomorphic filtering , differential evolution algorithm is used to optimize the parameters, and it is proved that differential evolution can find an optimal gain and structuring element for each sub-graph and then enhance the visual effects of the image. By compared with homomorphic filtering image enhancement method based on Fourier transform and Wavelet transform, it is proved that the method in this paper can get a further improved enhancement.