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Technology of Graphic & Image
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3504-3507,3520

Method for image denoising based on wavelet transform and total variational model

Zhang Hong
Zhou Xiaoli
School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China

Abstract

As the drawbacks of traditional wavelet threshold algorithm for image noise reduction that it cannot eliminate the noise thoroughly and blur the image edge, this paper proposed an image denoising method based on wavelet transform and total variation model. Firstly, the wavelet coefficients of each dimension separated from the noisy image through the wavelet transform, then used the total variation model to filter the low frequency coefficients, and for the high frequency coefficients, different thresholds in different decomposition scaled for eliminating the noise overcame the lack of the universal threshold and enhanced the adaptability of the algorithm. Finally, the wavelet inversion obtained the denoised image. Theoretical analysis and experimental results show that this algorithm with the advantages of both wavelet transform and total variation model, it can remove noise effectively, keep image edges and details very well, the structural similarity and peak signal-to-noise ratio have also improved.

Foundation Support

国家自然科学基金资助项目(61503082)
陕西省自然科学基金资助项目(2016JM8034)
陕西省教育厅科学研究计划资助项目(15JK1682)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0422
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Graphic & Image
Pages: 3504-3507,3520
Serial Number: 1001-3695(2019)11-069-3504-04

Publish History

[2019-11-05] Printed Article

Cite This Article

张弘, 周晓莉. 基于小波阈值和全变分模型的图像去噪 [J]. 计算机应用研究, 2019, 36 (11): 3504-3507,3520. (Zhang Hong, Zhou Xiaoli. Method for image denoising based on wavelet transform and total variational model [J]. Application Research of Computers, 2019, 36 (11): 3504-3507,3520. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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