Classification of novel selected region of interest for color image encryption
Securing digital image in exchanging huge multimedia data over internet with limited bandwidth is a significant and sensitive issue. Selective image encryption being an effective method for reducing the amount of encrypted data can achieve adequate security enhancement. Determining and selecting the...
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| Format: | Article |
| Language: | English |
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Maxwell Science Publications
2015
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| Online Access: | http://eprints.utm.my/58054/1/GhazaliSulong2014_ClassificationofNovelSelectedRegion.pdf |
| _version_ | 1796860432594501632 |
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| author | Jawad, L. M. Sulong, G. |
| author_facet | Jawad, L. M. Sulong, G. |
| author_sort | Jawad, L. M. |
| collection | ePrints |
| description | Securing digital image in exchanging huge multimedia data over internet with limited bandwidth is a significant and sensitive issue. Selective image encryption being an effective method for reducing the amount of encrypted data can achieve adequate security enhancement. Determining and selecting the region of interest in digital color images is challenging for selective image encryption due to their complex structure and distinct regions of varying importance. We propose a new feature in acquiring and selecting Region of Interest (ROI) for the color images to develop a selective encryption scheme. The hybrid domain is used to encrypt regions based on chaotic map approach which automatically generates secret key. This new attribute is a vitality facet representing the noteworthy part of the color image. The security performance of selective image encryption is found to enhance considerably based on the rates of encrypted area selection. Computation is performed using MATLAB R2008a codes on eight images (Lena, Pepper, Splash, Airplane, House, Tiffany, Baboon and Sailboat) each of size 512*512 pixels obtained from standard USC-SIPI Image Database. A block size of 128*128 pixels with threshold levels 0.0017 and 0.48 are employed. Results are analyzed and compared with edge detection method using the same algorithm. Encrypted area, entropy and correlation coefficients performances reveal that the proposed scheme achieves good alternative in the confined region of interest, fulfills the desired confidentiality and protects image privacy. |
| first_indexed | 2024-03-05T19:41:17Z |
| format | Article |
| id | utm.eprints-58054 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:41:17Z |
| publishDate | 2015 |
| publisher | Maxwell Science Publications |
| record_format | dspace |
| spelling | utm.eprints-580542021-08-04T05:32:05Z http://eprints.utm.my/58054/ Classification of novel selected region of interest for color image encryption Jawad, L. M. Sulong, G. QA75 Electronic computers. Computer science Securing digital image in exchanging huge multimedia data over internet with limited bandwidth is a significant and sensitive issue. Selective image encryption being an effective method for reducing the amount of encrypted data can achieve adequate security enhancement. Determining and selecting the region of interest in digital color images is challenging for selective image encryption due to their complex structure and distinct regions of varying importance. We propose a new feature in acquiring and selecting Region of Interest (ROI) for the color images to develop a selective encryption scheme. The hybrid domain is used to encrypt regions based on chaotic map approach which automatically generates secret key. This new attribute is a vitality facet representing the noteworthy part of the color image. The security performance of selective image encryption is found to enhance considerably based on the rates of encrypted area selection. Computation is performed using MATLAB R2008a codes on eight images (Lena, Pepper, Splash, Airplane, House, Tiffany, Baboon and Sailboat) each of size 512*512 pixels obtained from standard USC-SIPI Image Database. A block size of 128*128 pixels with threshold levels 0.0017 and 0.48 are employed. Results are analyzed and compared with edge detection method using the same algorithm. Encrypted area, entropy and correlation coefficients performances reveal that the proposed scheme achieves good alternative in the confined region of interest, fulfills the desired confidentiality and protects image privacy. Maxwell Science Publications 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/58054/1/GhazaliSulong2014_ClassificationofNovelSelectedRegion.pdf Jawad, L. M. and Sulong, G. (2015) Classification of novel selected region of interest for color image encryption. Research Journal Of Applied Sciences, Engineering And Technology, 9 (11). pp. 969-981. ISSN 2040-7459 http://dx.doi.org/10.19026/rjaset.9.2590 DOI: 10.19026/rjaset.9.2590 |
| spellingShingle | QA75 Electronic computers. Computer science Jawad, L. M. Sulong, G. Classification of novel selected region of interest for color image encryption |
| title | Classification of novel selected region of interest for color image encryption |
| title_full | Classification of novel selected region of interest for color image encryption |
| title_fullStr | Classification of novel selected region of interest for color image encryption |
| title_full_unstemmed | Classification of novel selected region of interest for color image encryption |
| title_short | Classification of novel selected region of interest for color image encryption |
| title_sort | classification of novel selected region of interest for color image encryption |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/58054/1/GhazaliSulong2014_ClassificationofNovelSelectedRegion.pdf |
| work_keys_str_mv | AT jawadlm classificationofnovelselectedregionofinterestforcolorimageencryption AT sulongg classificationofnovelselectedregionofinterestforcolorimageencryption |