@article {6875,
	title = {Image denoising using new wavelet thresholding function},
	journal = {Journal of Applied Mathematics and Computational Mechanics },
	volume = {16},
	number = {2},
	year = {2017},
	pages = {55-65},
	abstract = {
	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.

},
	url = {https://amcm.pcz.pl/?id=view\&volume=16\&issue=2\&article=5},
	author = {Dehda, Bachir and Melkemi, Khaled}
}
