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Brief review of image denoising techniques

With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required...

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Detalles Bibliográficos
Autores principales: Fan, Linwei, Zhang, Fan, Fan, Hui, Zhang, Caiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099553/
https://www.ncbi.nlm.nih.gov/pubmed/32240414
http://dx.doi.org/10.1186/s42492-019-0016-7
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author Fan, Linwei
Zhang, Fan
Fan, Hui
Zhang, Caiming
author_facet Fan, Linwei
Zhang, Fan
Fan, Hui
Zhang, Caiming
author_sort Fan, Linwei
collection PubMed
description With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required to reduce noise without losing image features (edges, corners, and other sharp structures). So far, researchers have already proposed various methods for decreasing noise. Each method has its own advantages and disadvantages. In this paper, we summarize some important research in the field of image denoising. First, we give the formulation of the image denoising problem, and then we present several image denoising techniques. In addition, we discuss the characteristics of these techniques. Finally, we provide several promising directions for future research.
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spelling pubmed-70995532020-03-31 Brief review of image denoising techniques Fan, Linwei Zhang, Fan Fan, Hui Zhang, Caiming Vis Comput Ind Biomed Art Review With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required to reduce noise without losing image features (edges, corners, and other sharp structures). So far, researchers have already proposed various methods for decreasing noise. Each method has its own advantages and disadvantages. In this paper, we summarize some important research in the field of image denoising. First, we give the formulation of the image denoising problem, and then we present several image denoising techniques. In addition, we discuss the characteristics of these techniques. Finally, we provide several promising directions for future research. Springer Singapore 2019-07-08 /pmc/articles/PMC7099553/ /pubmed/32240414 http://dx.doi.org/10.1186/s42492-019-0016-7 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review
Fan, Linwei
Zhang, Fan
Fan, Hui
Zhang, Caiming
Brief review of image denoising techniques
title Brief review of image denoising techniques
title_full Brief review of image denoising techniques
title_fullStr Brief review of image denoising techniques
title_full_unstemmed Brief review of image denoising techniques
title_short Brief review of image denoising techniques
title_sort brief review of image denoising techniques
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099553/
https://www.ncbi.nlm.nih.gov/pubmed/32240414
http://dx.doi.org/10.1186/s42492-019-0016-7
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