Image denoising research based on total variation and wavelet transformation

In this paper, firstly, on the basis of analyzing the principle of wavelet decomposition and reconstruction, the process of wavelet denoising is proposed; secondly, on the basis of analyzing the isotropic feature of wavelet and the traditional low-pass filters, the denoising model and process of the...

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Bibliographic Details
Published in2013 3rd International Conference on Consumer Electronics, Communications and Networks pp. 339 - 342
Main Authors Xu Xiaorong, Li Yongjun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Image denoising
Image edge detection
Image reconstruction
Noise
Noise reduction
Total Variation
Wavelet
Wavelet analysis
Wavelet transforms
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Summary:In this paper, firstly, on the basis of analyzing the principle of wavelet decomposition and reconstruction, the process of wavelet denoising is proposed; secondly, on the basis of analyzing the isotropic feature of wavelet and the traditional low-pass filters, the denoising model and process of the total variation is proposed and it has anisotropic diffusion feature; by analyzing the respective advantages and shortcomings of these two methods, we propose a method based on the wavelet decomposition and reconstruction and total variation. The experiment results show that this new method is better than the above two methods.
ISBN:1479928593
9781479928590
DOI:10.1109/CECNet.2013.6703341