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Image denoising using new wavelet thresholding function

Dehda B., Melkemi K.

Journal of Applied Mathematics and Computational Mechanics

2017

Vol. 16, nr 2

55--65

In this paper, we propose a new image denoising method based on wavelet thresholding. In this method, we introduce a new nonlinear thresholding function characterized by a shape parameter and basic properties. These characteristics make the new method able to achieve a compromise between both traditional thresholding techniques such as Hard and Soft thresholding. The experimental results show that our proposed method provides better performance compared to many classical thresholding methods in terms of the visual quality of the denoised image.