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Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach

Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach...

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Main Authors: Sajid Ullah, Khan, Najeeb Ullah, Khan, Chai, Soo See, Wang, Yin Chai
Format: Article
Language:English
Published: dline.info 2016
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/15858/1/Najeeb.pdf
http://ir.unimas.my/id/eprint/15858/
http://www.dline.info/jmpt/fulltext/v7n3/jmptv7n3_2.pdf
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spelling my.unimas.ir.158582021-06-09T16:22:13Z http://ir.unimas.my/id/eprint/15858/ Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach Sajid Ullah, Khan Najeeb Ullah, Khan Chai, Soo See Wang, Yin Chai T Technology (General) Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole image by finding out some vital information from the histogram of the referenced image. The experimental results show that the proposed algorithm can adjust the tiny characters and increase the image contrast efficiently. dline.info 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/15858/1/Najeeb.pdf Sajid Ullah, Khan and Najeeb Ullah, Khan and Chai, Soo See and Wang, Yin Chai (2016) Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach. Journal of Multimedia Processing and Technologies, 7 (3). ISSN 0976-4135 http://www.dline.info/jmpt/fulltext/v7n3/jmptv7n3_2.pdf
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Sajid Ullah, Khan
Najeeb Ullah, Khan
Chai, Soo See
Wang, Yin Chai
Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
description Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole image by finding out some vital information from the histogram of the referenced image. The experimental results show that the proposed algorithm can adjust the tiny characters and increase the image contrast efficiently.
format Article
author Sajid Ullah, Khan
Najeeb Ullah, Khan
Chai, Soo See
Wang, Yin Chai
author_facet Sajid Ullah, Khan
Najeeb Ullah, Khan
Chai, Soo See
Wang, Yin Chai
author_sort Sajid Ullah, Khan
title Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
title_short Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
title_full Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
title_fullStr Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
title_full_unstemmed Digital Images Enhancement using Tiny Character Adjustment and Referenced Image Approach
title_sort digital images enhancement using tiny character adjustment and referenced image approach
publisher dline.info
publishDate 2016
url http://ir.unimas.my/id/eprint/15858/1/Najeeb.pdf
http://ir.unimas.my/id/eprint/15858/
http://www.dline.info/jmpt/fulltext/v7n3/jmptv7n3_2.pdf
_version_ 1702173245127524352
score 13.211869

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