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Improved Texture Enhanced Image Denoising

by Jeetesh Kumar Rajak, Achint Chugh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 2
Year of Publication: 2015
Authors: Jeetesh Kumar Rajak, Achint Chugh
10.5120/21511-4472

Jeetesh Kumar Rajak, Achint Chugh . Improved Texture Enhanced Image Denoising. International Journal of Computer Applications. 121, 2 ( July 2015), 13-18. DOI=10.5120/21511-4472

@article{ 10.5120/21511-4472,
author = { Jeetesh Kumar Rajak, Achint Chugh },
title = { Improved Texture Enhanced Image Denoising },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 2 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number2/21511-4472/ },
doi = { 10.5120/21511-4472 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:23.992309+05:30
%A Jeetesh Kumar Rajak
%A Achint Chugh
%T Improved Texture Enhanced Image Denoising
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 2
%P 13-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

here this work is introducing the new technique using the improved texture enhanced framework for image denoising. This technique is fast as compared to the higher order singular value decomposition (HOSVD) as we have in the previous work. The HOSVD technique simply compose in a cluster, alike Patches of noisy image in 3D heap, work out HOSVD factors of this heap, handles these factors by stiff thresholding, and turn upside down the HOSVD transmute to yield the final resultant image. Whereas improved texture enhanced image denoising have proven to be effective and robust in many image denoising tasks. It is experimentally demonstrating approximately 5 percent improved PSNR characteristics of ITEID technique on gray scale images. The ITEID process yields state-of-the-art outcomes on gray images, than HOSVD image data denoising process at moderately great noise stages.

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Index Terms

Computer Science
Information Sciences

Keywords

Image data denoising singular value decomposition (SVD) HOSVD patch Basis similarity ITEID

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