Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions-Reference-Cited by-同舟云学术

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Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions

Published:2022-09-23 Issue:1 Volume:17 Page:144-156
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Gajamannage Kelum¹^ORCID,Park Yonggi¹,Sadovski Alexey¹

Affiliation:

1. Department of Mathematics and Statistics Texas A&M University‐Corpus Christi Corpus Christi Texas USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12623

Reference39 articles.

1. Image Denoising Methods. A New Nonlocal Principle

2. Brief review of image denoising techniques;Fan L.;Visual Comput. Ind. Biomed. Art,2019

3. Comparative study of different noise models and effective filtering techniques;Makandar A.;Int. J. Sci. Res.,2014

4. Boyat A.K. Joshi B.K.:A review paper: noise models in digital image processing. arXiv preprint arXiv:1505.03489 (2015)

5. Fast restoration of natural images corrupted by high-density impulse noise

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