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图像对比度增强的小波变换法
引用本文:陈会羽. 图像对比度增强的小波变换法[J]. 计算机工程与应用, 2006, 42(25): 66-68
作者姓名:陈会羽
作者单位:浙江师范大学信息科学与工程学院,浙江,金华,321004
摘    要:提出一种基于离散正交小波变换和非线性增益的图像对比度增强方法。对图像进行离散正交小波变换后,对分辨率较好的各高频子带直接利用所提出的去噪方法去噪;对分辨率较差的各高频子带利用所提出的非线性增益法结合文中的去噪法进行增强。实验结果表明,论文提出的方法在有效地增强图像对比度的同时,又能很好地抑制图像中的白噪声。算法在视觉质量上优于传统的反锐化掩膜法、直方图均衡法。

关 键 词:离散正交小波变换  广义交叉确认  阈值去噪  对比度增强  非线性增益
文章编号:1002-8331-(2006)25-0066-03
收稿时间:2005-12-01
修稿时间:2005-12-01

Contrast Enhancement for Image by Wavelet Transform
CHEN Hui-yu. Contrast Enhancement for Image by Wavelet Transform[J]. Computer Engineering and Applications, 2006, 42(25): 66-68
Authors:CHEN Hui-yu
Affiliation:College of Information Science and Engineering,Zhejiang Normal University,Jinhua,Zhejiang 321004
Abstract:A kind of image threshold de-noising and enhancement method based on discrete orthogonal wavelet transform and non-linear gain is given.After making discrete orthogonal wavelet transform to an image,de-noising is done by the method given in the high frequency subbands which is in the better resolution levels and enhancement is done by combining denoising method with non-linear gain method in the high frequency subbands which is the worse resolution levels.According to the result of experiment,the given algorithm can reduce the noise of image effectively while it also enhances the contrast of image well.In visual quality,the algorithm is better than the traditional unshaped mask method,histogram equalization method.
Keywords:discrete orthogonal wavelet transform  generalized cross validation  de-noising by threshold  contrast enhancement  non-linear gain
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