Version 1
: Received: 9 June 2023 / Approved: 12 June 2023 / Online: 12 June 2023 (02:18:59 CEST)
How to cite:
Funaro, D.; Fatone, L. Low-Cost Denoising and Deblurring Using a Novel Nonlinear Diffusion Technique. Preprints2023, 2023060736. https://doi.org/10.20944/preprints202306.0736.v1
Funaro, D.; Fatone, L. Low-Cost Denoising and Deblurring Using a Novel Nonlinear Diffusion Technique. Preprints 2023, 2023060736. https://doi.org/10.20944/preprints202306.0736.v1
Funaro, D.; Fatone, L. Low-Cost Denoising and Deblurring Using a Novel Nonlinear Diffusion Technique. Preprints2023, 2023060736. https://doi.org/10.20944/preprints202306.0736.v1
APA Style
Funaro, D., & Fatone, L. (2023). Low-Cost Denoising and Deblurring Using a Novel Nonlinear Diffusion Technique. Preprints. https://doi.org/10.20944/preprints202306.0736.v1
Chicago/Turabian Style
Funaro, D. and Lorella Fatone. 2023 "Low-Cost Denoising and Deblurring Using a Novel Nonlinear Diffusion Technique" Preprints. https://doi.org/10.20944/preprints202306.0736.v1
Abstract
An algorithm for the treatment of images affected by both blurring and salt&pepper noise is proposed with a cost only proportional to the number of pixels. The methodology uses a discretization scheme for the Laplace operator multiplied by a suitable nonlinear term depending on the gradient. Even if this approach resembles a diffusion type algorithm, only one step of the procedure is applied, leading to significant time savings. The procedure is successfully tested on some standard black&white natural images.
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
