Digital Image Compression using Karhunen-Loève Transform

In this research present the digital image compression using by  Karhunen-Loève Transform (KLT), by convert a color digital  image to a gray square digital image, then select the no. of eigen values and eigen vectors that can reconstruct the image,  that be very near to the original image. And then...

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Main Author: Ghada Younes
Format: Article
Language:English
Published: Mosul University 2013-09-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163535_38e216eeabe764b58d476c75033d610d.pdf
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author Ghada Younes
author_facet Ghada Younes
author_sort Ghada Younes
collection DOAJ
description In this research present the digital image compression using by  Karhunen-Loève Transform (KLT), by convert a color digital  image to a gray square digital image, then select the no. of eigen values and eigen vectors that can reconstruct the image,  that be very near to the original image. And then calculate compression ratio and a high result reach it, after applied fidelity criteria on image produce from compression represented by (PSNR, MSE, correlation coefficient and compression ratio), and using a matlab language programming for execute this research.
format Article
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issn 1815-4816
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publishDate 2013-09-01
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record_format Article
series Al-Rafidain Journal of Computer Sciences and Mathematics
spelling doaj-art-d78a66da27644f7b8fdd5168f2008db22025-08-20T02:13:24ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-09-01103475910.33899/csmj.2013.163535163535Digital Image Compression using Karhunen-Loève TransformGhada Younes0College of Computer Science and Mathematics University of Mosul, Mosul, IraqIn this research present the digital image compression using by  Karhunen-Loève Transform (KLT), by convert a color digital  image to a gray square digital image, then select the no. of eigen values and eigen vectors that can reconstruct the image,  that be very near to the original image. And then calculate compression ratio and a high result reach it, after applied fidelity criteria on image produce from compression represented by (PSNR, MSE, correlation coefficient and compression ratio), and using a matlab language programming for execute this research.https://csmj.mosuljournals.com/article_163535_38e216eeabe764b58d476c75033d610d.pdfdigital imagecompressionkarhunen-loève transform
spellingShingle Ghada Younes
Digital Image Compression using Karhunen-Loève Transform
Al-Rafidain Journal of Computer Sciences and Mathematics
digital image
compression
karhunen-loève transform
title Digital Image Compression using Karhunen-Loève Transform
title_full Digital Image Compression using Karhunen-Loève Transform
title_fullStr Digital Image Compression using Karhunen-Loève Transform
title_full_unstemmed Digital Image Compression using Karhunen-Loève Transform
title_short Digital Image Compression using Karhunen-Loève Transform
title_sort digital image compression using karhunen loeve transform
topic digital image
compression
karhunen-loève transform
url https://csmj.mosuljournals.com/article_163535_38e216eeabe764b58d476c75033d610d.pdf
work_keys_str_mv AT ghadayounes digitalimagecompressionusingkarhunenloevetransform