Detection and restoration of cracked digitized paintings and manuscripts using image processing

Ancient paintings are cultural heritage that can be preserved via computer aided analysis and processing. These paintings deteriorate due to undesired cracks, which are caused by aging, drying up of painting material, and mechanical factors. These heritages need to be restored to their respective...

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Main Authors:	Farajalla Ali, Nawafil Abdulwahab, Taha Alshaikhli, Imad Fakhri, Hassan, Raini
Format:	Article
Language:	English English
Published:	Science Publishing Corporation Inc 2018
Subjects:	ND1470 Technique and materials ND2550 Illuminating of manuscripts and books QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/1/64306_Detection%20And%20Restoration%20of%20Cracked.pdf http://irep.iium.edu.my/64306/2/64306_Detection%20And%20Restoration%20of%20Cracked_SCOPUS.pdf

id	iium-64306
recordtype	eprints
spelling	iium-643062018-07-02T02:23:49Z http://irep.iium.edu.my/64306/ Detection and restoration of cracked digitized paintings and manuscripts using image processing Farajalla Ali, Nawafil Abdulwahab Taha Alshaikhli, Imad Fakhri Hassan, Raini ND1470 Technique and materials ND2550 Illuminating of manuscripts and books QA75 Electronic computers. Computer science Ancient paintings are cultural heritage that can be preserved via computer aided analysis and processing. These paintings deteriorate due to undesired cracks, which are caused by aging, drying up of painting material, and mechanical factors. These heritages need to be restored to their respective original or near-original states. There are different techniques and methodologies that can be used to conserve and restore the overall quality of these images. The main objective of this study is to analyze techniques and methodologies that have been developed for the detection, classification of small patterns, and restoration of cracks in digitized old painting and manuscripts. The purpose of the developed algorithm is to identify cracks using the thresholding operation, which was the output of the top-hat transform morphology. Afterwards, the breaks, which were wrongly identified as cracks, were separated for utilization in a semi-automatic procedure based on region growth. Finally, both the median filter and weighted median techniques were applied to fill the cracks and enhance image quality. Science Publishing Corporation Inc 2018-06-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64306/1/64306_Detection%20And%20Restoration%20of%20Cracked.pdf application/pdf en http://irep.iium.edu.my/64306/2/64306_Detection%20And%20Restoration%20of%20Cracked_SCOPUS.pdf Farajalla Ali, Nawafil Abdulwahab and Taha Alshaikhli, Imad Fakhri and Hassan, Raini (2018) Detection and restoration of cracked digitized paintings and manuscripts using image processing. International Journal of Engineering & Technology, 7 (2.34). pp. 39-43. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/13907/5591 10.14419/ijet.v7i2.34.13907
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	ND1470 Technique and materials ND2550 Illuminating of manuscripts and books QA75 Electronic computers. Computer science
spellingShingle	ND1470 Technique and materials ND2550 Illuminating of manuscripts and books QA75 Electronic computers. Computer science Farajalla Ali, Nawafil Abdulwahab Taha Alshaikhli, Imad Fakhri Hassan, Raini Detection and restoration of cracked digitized paintings and manuscripts using image processing
description	Ancient paintings are cultural heritage that can be preserved via computer aided analysis and processing. These paintings deteriorate due to undesired cracks, which are caused by aging, drying up of painting material, and mechanical factors. These heritages need to be restored to their respective original or near-original states. There are different techniques and methodologies that can be used to conserve and restore the overall quality of these images. The main objective of this study is to analyze techniques and methodologies that have been developed for the detection, classification of small patterns, and restoration of cracks in digitized old painting and manuscripts. The purpose of the developed algorithm is to identify cracks using the thresholding operation, which was the output of the top-hat transform morphology. Afterwards, the breaks, which were wrongly identified as cracks, were separated for utilization in a semi-automatic procedure based on region growth. Finally, both the median filter and weighted median techniques were applied to fill the cracks and enhance image quality.
format	Article
author	Farajalla Ali, Nawafil Abdulwahab Taha Alshaikhli, Imad Fakhri Hassan, Raini
author_facet	Farajalla Ali, Nawafil Abdulwahab Taha Alshaikhli, Imad Fakhri Hassan, Raini
author_sort	Farajalla Ali, Nawafil Abdulwahab
title	Detection and restoration of cracked digitized paintings and manuscripts using image processing
title_short	Detection and restoration of cracked digitized paintings and manuscripts using image processing
title_full	Detection and restoration of cracked digitized paintings and manuscripts using image processing
title_fullStr	Detection and restoration of cracked digitized paintings and manuscripts using image processing
title_full_unstemmed	Detection and restoration of cracked digitized paintings and manuscripts using image processing
title_sort	detection and restoration of cracked digitized paintings and manuscripts using image processing
publisher	Science Publishing Corporation Inc
publishDate	2018
url	http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/ http://irep.iium.edu.my/64306/1/64306_Detection%20And%20Restoration%20of%20Cracked.pdf http://irep.iium.edu.my/64306/2/64306_Detection%20And%20Restoration%20of%20Cracked_SCOPUS.pdf
first_indexed	2023-09-18T21:31:15Z
last_indexed	2023-09-18T21:31:15Z
_version_	1777412525861634048

Detection and restoration of cracked digitized paintings and manuscripts using image processing

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