Time Parallel Denoising Algorithm Based on P-M Equation for Real Image

This paper combines the regularized Perona and Malik model with the time parareal algorithm to denoise the real image which has the characteristics of typical Gaussian noise. This method can remove the noise stably and effectively and has high calculation efficiency. For the real color image of 6000...

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Veröffentlicht in:Wireless communications and mobile computing Jg. 2022; H. 1
1. Verfasser: He, Guoliang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Hindawi 2022
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Color imagery
Morphology
Noise
Noise reduction
Normal distribution
Partial differential equations
Random noise
ISSN:1530-8669, 1530-8677
Online-Zugang:Volltext
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Zusammenfassung:This paper combines the regularized Perona and Malik model with the time parareal algorithm to denoise the real image which has the characteristics of typical Gaussian noise. This method can remove the noise stably and effectively and has high calculation efficiency. For the real color image of 6000×4000 pixels, the time cost can be shortened from one minute in serial computing to a few seconds based on our combination method if we do not care about the requirement of computing hardware. This provides some reference for practical engineering application.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/8008912