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Image Restoration Methods, Survey of Machine Learning Methods and an Over View

by G.S. Yogananda, Y.P. Gowramma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 31
Year of Publication: 2020
Authors: G.S. Yogananda, Y.P. Gowramma
10.5120/ijca2020920865

G.S. Yogananda, Y.P. Gowramma . Image Restoration Methods, Survey of Machine Learning Methods and an Over View. International Journal of Computer Applications. 175, 31 ( Nov 2020), 41-44. DOI=10.5120/ijca2020920865

@article{ 10.5120/ijca2020920865,
author = { G.S. Yogananda, Y.P. Gowramma },
title = { Image Restoration Methods, Survey of Machine Learning Methods and an Over View },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2020 },
volume = { 175 },
number = { 31 },
month = { Nov },
year = { 2020 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number31/31652-2020920865/ },
doi = { 10.5120/ijca2020920865 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:40:01.244591+05:30
%A G.S. Yogananda
%A Y.P. Gowramma
%T Image Restoration Methods, Survey of Machine Learning Methods and an Over View
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 31
%P 41-44
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image restoration is one of the crucial problems in image processing even it is the low level image processing activity. This research paper presents the overview of the image restoration, available standard noises, and sources of noises. Further it details the degradation model, available restoration techniques, medical image restoration and medical restoration techniques. The literature survey on machine learning in restoration is explored. Finally mentioned the research gap to carry out the further research.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Restoration Noise Machine Learning

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