Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm
The importance of digital image authentication has grown in the last decade particularly with the widespread availability of digital media and image manipulation tools. As a result, different techniques were developed to detect fraudulent alterations in digital images and restore the original data....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/5771954 |
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| _version_ | 1832549144125767680 |
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| author | Taha Basheer Taha Ruzelita Ngadiran Dujan B. Taha |
| author_facet | Taha Basheer Taha Ruzelita Ngadiran Dujan B. Taha |
| author_sort | Taha Basheer Taha |
| collection | DOAJ |
| description | The importance of digital image authentication has grown in the last decade particularly with the widespread availability of digital media and image manipulation tools. As a result, different techniques were developed to detect fraudulent alterations in digital images and restore the original data. In this paper, a new algorithm is proposed to authenticate images by hiding a copy of the approximation band in the original image. The approximation band is hidden by embedding it inside the image pixels. The intensity of the hiding was decided using a perceptual map that simulates the human vision system and adds more intensity in areas where the human eye cannot recognize changes. The perceptual map consists of three parts, luminance mask, texture mask, and edge detection mask. Results show a high ability to blindly recover images after different attacks such as removing and blocking attacks. At the same time, the structure similarity index of resultant images was higher than 0.99 for all tested images. |
| format | Article |
| id | doaj-art-0fe0cf872d87431fb4b2528974d27ede |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-0fe0cf872d87431fb4b2528974d27ede2025-02-03T06:11:56ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5771954Perceptual Mapping-Based Image Tamper Detection and Recovery AlgorithmTaha Basheer Taha0Ruzelita Ngadiran1Dujan B. Taha2Faculty of Applied ScienceCentre of Excellence Advanced Computing (AdvComp)Software Engineering DepartmentThe importance of digital image authentication has grown in the last decade particularly with the widespread availability of digital media and image manipulation tools. As a result, different techniques were developed to detect fraudulent alterations in digital images and restore the original data. In this paper, a new algorithm is proposed to authenticate images by hiding a copy of the approximation band in the original image. The approximation band is hidden by embedding it inside the image pixels. The intensity of the hiding was decided using a perceptual map that simulates the human vision system and adds more intensity in areas where the human eye cannot recognize changes. The perceptual map consists of three parts, luminance mask, texture mask, and edge detection mask. Results show a high ability to blindly recover images after different attacks such as removing and blocking attacks. At the same time, the structure similarity index of resultant images was higher than 0.99 for all tested images.http://dx.doi.org/10.1155/2022/5771954 |
| spellingShingle | Taha Basheer Taha Ruzelita Ngadiran Dujan B. Taha Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm Advances in Multimedia |
| title | Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm |
| title_full | Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm |
| title_fullStr | Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm |
| title_full_unstemmed | Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm |
| title_short | Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm |
| title_sort | perceptual mapping based image tamper detection and recovery algorithm |
| url | http://dx.doi.org/10.1155/2022/5771954 |
| work_keys_str_mv | AT tahabasheertaha perceptualmappingbasedimagetamperdetectionandrecoveryalgorithm AT ruzelitangadiran perceptualmappingbasedimagetamperdetectionandrecoveryalgorithm AT dujanbtaha perceptualmappingbasedimagetamperdetectionandrecoveryalgorithm |