Image denoising using statistical model based on quaternion wavelet domain |
| |
Authors: | YIN Ming LIU Wei and KONG Ranran |
| |
Affiliation: | 1) School of Computer and Information,Hefei University of Technology,Hefei 230009,China 2) School of Mathematics,Hefei University of Technology,Hefei 230009,China |
| |
Abstract: | 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 correlations.First,according to the correlation of quaternion wavelet coefficients in interscale,non-Gaussian 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 algorithm outperforms the other classical algorithms in peak signal-to-noise ratio and visual quality. |
| |
Keywords: | quaternion wavelet transform image denoising non-Gaussian distribution statistical model |
本文献已被 CNKI 等数据库收录! |
|