一种前后向复扩散图像增强算法

传统的图像增强算法无法在去除噪声的同时保留图像的纹理.为此,本文从线性前向复扩散的原理出发,研究了线性后向复扩散的图像增强功能,将前向复扩散和后向复扩散相结合,给出了一种前后向复扩散图像增强算法.实验结果表明:该算法抑制了图像中的微弱噪声,有效地增强了图像,保留了图像的细节纹理,没有产生错误的图像增强效果,可以获得很好的图像增强效果.

Forward and Backward Complex Diffusion Algorithm for Image Enhancement

Traditional image enhancement algorithms failed in both denoising images and keeping textures together. So based on the principle of linear forward complex diffusion, image enhancement of linear backward diffusion was investigated. Then forward-and-backward complex diffusion image enhancement algorithm for natural image was put forward by combining forward complex diffusion and backward complex diffusion. Experiments showed that the algorithm not only compressed the weak noise, but also efficiently enhanced natural image. Moreover, texture and details in the image were preserved and no false enhancement results were produced. The algorithm would get high quality enhanced image.