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一种基于二维小波块阈值数字图像去噪方法
引用本文:黄红波.一种基于二维小波块阈值数字图像去噪方法[J].湖南理工学院学报,2006,19(1):31-33,39.
作者姓名:黄红波
作者单位:华中科技大学计算机科学与技术学院,湖北武汉430074
摘    要:小波系数在一个小邻域里具有相似性,若充分利用周围小波系数的信息,分块对小渡系数进行阈值去噪操作,可以在保持图像平滑的同时,尽量多地保留图像的细节信息。对Cai&Silverman的方法进行分析,将其拓展到二维信号去噪,并提出一种基于小波块阈值数字图像去噪方法.实验结果表明,谊方法不但能保留更多的图像细节,而且具有较好的峰值信噪比。

关 键 词:小波变换  二维小波阈值去噪  相邻小波系数  数字图像
文章编号:1672-5298(2006)01-0030-03
收稿时间:10 18 2005 12:00AM
修稿时间:2005-10-18

An image de-noising method based on 2d wavelet threshold of blocks
HUANG Hong-bo.An image de-noising method based on 2d wavelet threshold of blocks[J].Journal of Hunan Institute of Science and Technology,2006,19(1):31-33,39.
Authors:HUANG Hong-bo
Abstract:Wavelet coefficients are correlated in a small neighbourhood. We can take into account neighbour wavelet coefficient, and threshold the wavelet coefficients. Thus can produces smoother and clearer denoised images.In this paper, we discuss the Cai&Siiverman's idea and extend it to the 2D case, then we present a de-noising method based on 2D wavelet thresholds. The experimental results show that the proposed method can keep images' detail information and get higher PSNR for the denoised images.
Keywords:wavelet transform  2D wavelet threshold de-noising  neighbouring wavelet coeffieients  digital image
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