Unpaired image-to-image translation with improved two-dimensional feature

In this paper, the recently proposed lattice Boltzmann (LB) model for time sub-diffusion equation in Caputo sense has been Caputo sense space fractionalized. The proposed model has been applied to denoise images corrupted by Gaussian noise and salt and pepper noise, respectively. The comparison of the proposed method with some of the other state-of-the-art methods is done in terms of PSNR and SSIM values. The obtained results are considerably improved compared to some of the other recently reported state-of-the-art methods. 

Space Fractionalized Lattice Boltzmann Model-Based Image Denoising

Multi-weighted nuclear norm minimization for real world image denoising

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Multi-weighted nuclear norm minimization for real world image denoising