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基于小波多尺度积的图像增强新算法
引用本文:何宏,唐志航,张细政,杨保安. 基于小波多尺度积的图像增强新算法[J]. 计算机应用与软件, 2007, 24(3): 163-165
作者姓名:何宏  唐志航  张细政  杨保安
作者单位:湖南工程学院计算机科学系,湖南,湘潭,411104;湖南工程学院计算机科学系,湖南,湘潭,411104;东华大学旭日工商管理学院,上海,200051;东华大学旭日工商管理学院,上海,200051
摘    要:在分析小波变换对噪声影响规律的基础上,结合小波多尺度积的特性,提出了一种基于小波多尺度积的图像增强新算法,利用二进小波变换中各尺度上小波系数间的相关性,有效改善了图像增强过程中噪声放大问题.

关 键 词:小波变换  多尺度积  图像增强
修稿时间:2006-04-05

NOVEL ALGORITHM FOR IMAGE ENHANCEMENT BASED ON WAVELET MULTISCALE PRODUCT
He Hong,Tang Zhihang,Zhang Xizheng,Yang Baoan. NOVEL ALGORITHM FOR IMAGE ENHANCEMENT BASED ON WAVELET MULTISCALE PRODUCT[J]. Computer Applications and Software, 2007, 24(3): 163-165
Authors:He Hong  Tang Zhihang  Zhang Xizheng  Yang Baoan
Affiliation:1. Department of Computer Science, Hunan Institute of Engineering, Xiangtan Hunan 411104, China ;2 . Glorious-Sun School of Business and Management,Donghna University, Shanghai 200051, China
Abstract:By analyzing the effects of wavelet on signal and noise regularity, a new algorithm for image enhancement based on wavelet multiscale product is proposed. Making use of the dyadic wavelet transform and correlation of the wavelet coefficient from different scales. It can alleviate the amplification of the noise while enhancing the image feature.
Keywords:Wavelet transform Multiscale product Image enhancement
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