Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising

Image denoising is aimed at the removal of noise which may corrupt an image during its acquisition or transmission. De-noising of the corrupted image by Gaussian noise using wavelet transform is very effective way because of its ability to capture the energy of a signal in few larger values. This...

Full description

Saved in:
Bibliographic Details
Main Author: Nguyễn, Vĩnh An
Format: Article
Language:Vietnamese
Published: H. : ĐHQGHN 2014
Subjects:
Online Access:http://repository.vnu.edu.vn/handle/11126/13007
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Vietnam National University, Hanoi
Language: Vietnamese
id oai:112.137.131.14:11126-13007
record_format dspace
spelling oai:112.137.131.14:11126-130072017-10-27T01:42:21Z Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising Nguyễn, Vĩnh An Thống kê Tách nhiễu ảnh Hệ số wavelet Image denoising is aimed at the removal of noise which may corrupt an image during its acquisition or transmission. De-noising of the corrupted image by Gaussian noise using wavelet transform is very effective way because of its ability to capture the energy of a signal in few larger values. This paper proposes a threshold selection method for image de-noising based on the statistical parameters which depended on sub-band data. The threshold value is computed based on the number of coefficients in each scale j of wavelet decomposition and the noise variance in various sub-band. Experimental results in PSNR on several test images are compared for different de-noise techniques. 2014-12-10T03:37:32Z 2015-08-26T09:34:14Z 2014-12-10T03:37:32Z 2015-08-26T09:34:14Z 2013 Article 7 tr. http://repository.vnu.edu.vn/handle/11126/13007 vi application/pdf H. : ĐHQGHN
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language Vietnamese
topic Thống kê
Tách nhiễu ảnh
Hệ số wavelet
spellingShingle Thống kê
Tách nhiễu ảnh
Hệ số wavelet
Nguyễn, Vĩnh An
Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
description Image denoising is aimed at the removal of noise which may corrupt an image during its acquisition or transmission. De-noising of the corrupted image by Gaussian noise using wavelet transform is very effective way because of its ability to capture the energy of a signal in few larger values. This paper proposes a threshold selection method for image de-noising based on the statistical parameters which depended on sub-band data. The threshold value is computed based on the number of coefficients in each scale j of wavelet decomposition and the noise variance in various sub-band. Experimental results in PSNR on several test images are compared for different de-noise techniques.
format Article
author Nguyễn, Vĩnh An
author_facet Nguyễn, Vĩnh An
author_sort Nguyễn, Vĩnh An
title Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
title_short Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
title_full Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
title_fullStr Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
title_full_unstemmed Analysis the Statistical Parameters of the Wavelet Coefficients for Image Denoising
title_sort analysis the statistical parameters of the wavelet coefficients for image denoising
publisher H. : ĐHQGHN
publishDate 2014
url http://repository.vnu.edu.vn/handle/11126/13007
_version_ 1680964025551159296