Time Fractionalized Lattice Boltzmann Model-Based Image Denoising

Autor:	P. Upadhyay, K. N. Rai
Rok vydání:	2021
Předmět:	Noise symbols.namesake Additive white Gaussian noise Computer science Gaussian noise Computer Science::Computer Vision and Pattern Recognition Noise reduction Computer Science::Multimedia Lattice boltzmann model Lattice Boltzmann methods symbols Statistical physics Image denoising
Zdroj:	Communication and Intelligent Systems ISBN: 9789811610882
DOI:	10.1007/978-981-16-1089-9_64
Popis:	In this paper, we have proposed the Caputo sense time fractionalized lattice Boltzmann (LB) model for time sub-diffusion equation in Caputo sense recently proposed by Rui Du et al. We have applied this model to denoise white Gaussian noise corrupted images with different noise levels. The denoising results have been compared with some of the recently reported state-of-the-art methods in terms of PSNR and SSIM values. The results found show considerable improvement over other recently reported state-of-the-art methods in terms of both PSNR and SSIM values.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::616a2271b7a0d05febc26d975cf68ae6 https://doi.org/10.1007/978-981-16-1089-9_64 Zobrazit plný text záznamu