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Time Fractionalized Lattice Boltzmann Model-Based Image Denoising

dc.contributor.authorUpadhyay P.; Rai K.N.
dc.date.accessioned2025-05-23T11:26:58Z
dc.description.abstractIn 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. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
dc.identifier.doihttps://doi.org/10.1007/978-981-16-1089-9_64
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/10923
dc.relation.ispartofseriesLecture Notes in Networks and Systems
dc.titleTime Fractionalized Lattice Boltzmann Model-Based Image Denoising

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