Image denoising using statistical model based on quaternion wavelet domain

作     者：YIN Ming LIU Wei KONG Ranran 

作者机构：School of Computer and Information Hefei University of Technology Hefei 230009 China School of Mathematics Hefei University of Technology Hefei 230009 China 

基　　金：Supported by Natural Science Foundation of Anhui (No.11040606M06) 

出 版 物：《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造（英文版）)

年 卷 期：2012年第22卷第2期

页      码：8-12页

摘      要：Image denoising is the basic problem of image processing. Quaternion wavelet transform is a new kind of multiresolution analysis tools. Image via quaternion wavelet transform, wavelet coefficients both in intrascale and in interscale have certain correla- tions. First, according to the correlation of quaternion wavelet coefficients in interscale, non-Ganssian distribution model is used to model its correlations, and the coefficients are divided into important and unimportance coefficients. Then we use the non-Gaussian distribution model to model the important coefficients and its adjacent coefficients, and utilize the MAP method estimate original image wavelet coefficients from noisy coefficients, so as to achieve the purpose of denoising. Experimental results show that our al- gorithm outperforms the other classical algorithms in peak signal-to-noise ratio and visual quality.

主 题 词：quaternion wavelet transform image denoising non-Ganssian distribution statistical model 

学科分类：081801[081801] 081802[081802] 08[工学] 080203[080203] 0818[工学-交通运输类] 0802[工学-机械学] 

D　O　I：10.19583/j.1003-4951.2012.02.002

馆 藏 号：203139978...