基于尺度相关性的自适应图像增强新算法  

New algorithm for adaptive image enhancement based on scale correlation

作　　者：唐志航[1] 黄哲[1] 张东衡[2] 杨保安[3] 陈世清[1] 

机构地区：[1]湖南工程学院计算机科学系,湖南湘潭411104 [2]上海医疗器械高等专科学校精密医疗器械系,上海200093 [3]东华大学旭日工商管理学院,上海200051

出　　处：《计算机应用》2006年第9期2084-2085,2088,共3页journal of Computer Applications

基　　金：湖南省自然科学基金资助项目(04JJ3045)

摘　　要：针对图像增强算法通常会放大原图像中噪声分量的问题,结合小波变换中相关系数理论,提出了一种基于小波变换的图像增强新算法,利用二进小波变换中各尺度上小波系数间的相关性,有效改善了增强过程中噪声放大问题。实验表明,该方法无论是增强效果还是抗噪性能都明显优于传统的图像增强算法。To overcome the limitation of the traditional algorithms in which the noise is often amplified, a new algorithm for adaptive image enhancement based on the wavelet transformation was proposed. The method was derived from the correlation coefficient theory of the wavelets and the correlation of the wavelet coefficient on different scales in the dyadic wavelet transformation. Experiments show that the method not only provides a better image enhancement but also possesses a stronger anti-noise capability, compared to the traditional algorithms.

关 键 词：小波变换 尺度相关性 自适应图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]