基于PDE的图像去噪和反差增强同步算法  

Synchronization Algorithm of Image Denoising and Contrast Enhancement Based on PDE

作　　者：陈颖[1] 彭进业[1] 王大凯[1] 吴亚鹏[2] 王宾[1] 

机构地区：[1]西北大学信息科学与技术学院,西安710127 [2]中科院上海光学精密机械研究所信息光学实验室,上海201800

出　　处：《计算机工程》2009年第23期224-226,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60875016)

摘　　要：针对反差较低且包含噪声污染的灰度图像,设计分段线性拉伸函数,引入TV下降流,建立新的偏微分方程(PDE)数学模型。该模型通过设置参数λ灵活控制去噪和反差增强的程度,实现2种灰度图像处理手段的同步进行。对比实验表明,该方法可有效缓解传统处理方法存在的问题,在抑制噪声的同时增强图像的反差。Considering the gray image which is lower contrast and noised, a piecewise linear stretch function is designed and a new mathematical model of Partial Differential Equations（PDE） is contributed using Total Variation（TV） descent. The model controls the extent of denoising and contrast enhancement by setting a parameter, and two image processing technologies are realized. Results of contrast experiments show that the new algorithm can effectively alleviate the disadvantages in traditional methods, noise in gray image is restrain and the contrast is enhanced.

关 键 词：偏微分方程 图像去噪 反差增强 整体变分 分段线性拉伸函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]