|Table of Contents|

[1] Zhang Tao, Wei Haiguang, Mo Xutao,. Image denoising method with tree-structured group sparsemodeling of wavelet coefficients [J]. Journal of Southeast University (English Edition), 2019, 35 (3): 332-340. [doi:10.3969/j.issn.1003-7985.2019.03.009]
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Image denoising method with tree-structured group sparsemodeling of wavelet coefficients()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
35
Issue:
2019 3
Page:
332-340
Research Field:
Image Processing
Publishing date:
2019-09-30

Info

Title:
Image denoising method with tree-structured group sparsemodeling of wavelet coefficients
Author(s):
Zhang Tao;  Wei Haiguang;  Mo Xutao
School of Mathematics and Physics, Anhui University of Technology, Ma’anshan 243000, China
Keywords:
local standard deviation;  group sparse;  image denoising;  mixed norm;  texture
PACS:
TP751
DOI:
10.3969/j.issn.1003-7985.2019.03.009
Abstract:
In order to enhance the image contrast and quality, inspired by the interesting observation that an increase in noise intensity tends to narrow the dynamic range of the local standard deviation(LSD)of an image, a tree-structured group sparse optimization model in the wavelet domain is proposed for image denoising. The compressed dynamic range of LSD caused by noise leads to a contrast reduction in the image, as well as the degradation of image quality. To equalize the LSD distribution, sparsity on the LSD matrix is enforced by employing a mixed norm as a regularizer in the image denoising model. This mixed norm introduces a coupling between wavelet coefficients and provides a tree-structured group scheme. The alternating direction method of multipliers(ADMM)and the fast iterative shrinkage-thresholding algorithm(FISTA)are applied to solve the group sparse model based on different cases. Several experiments are conducted to verify the effectiveness of the proposed model. The experimental results indicate that the proposed group sparse model can efficiently equalize the LSD distribution and therefore can improve the image contrast and quality.

References:

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Memo

Memo:
Biography: Zhang Tao(1982— ), male, doctor, associate professor, zt9877@163.com.
Foundation items: The National Natural Science Foundation of China(No.61701004, 11504003), the Natural Science Foundation of Anhui Province(No.1708085QA15).
Citation: Zhang Tao, Wei Haiguang, Mo Xutao.Image denoising method with tree-structured group sparse modeling of wavelet coefficients[J].Journal of Southeast University(English Edition), 2019, 35(3):332-340.DOI:10.3969/j.issn.1003-7985.2019.03.009.
Last Update: 2019-09-20