带Besov忠诚项的图像去噪变分模型

doi:10.3969/j.issn.1001-2400.2011.03.025

Abstract

Abstract:

An improved variational model based on Besov space for image denoising is proposed. The L² fidelity term in the classical model is generalized to the Besov fidelity term. The new model can be quickly solved by using the wavelet thresholding algorithm. The proposed algorithm does not need to solve the nonlinear partial differential equation, so it is an efficient and fast algorithm. Numerical experiments show that this model can remove noise efficiently while preserving the texture and the details.

Key words: image denoising, Besov space, wavelet, Besov fidelity term, gradient fidelity term

ZHANG Weibin；FENG Xiangchu；WANG Weiwei. Variational model with the Besov fidelity term for image denoising[J].J4, 2011, 38(3): 155-158+163.

References

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Variational model with the Besov fidelity term for image denoising

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