Detection of image copy-move forgery using local intensity order pattern
Copy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections,a new method based on local intensity order pattern was pro-posed.First,the LIOP feature descriptors were exacted from the inspected image.Then...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016259/ |
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| author | Jing LIN Tian-qiang HUANG Ling-peng LIN Xiao-chen1 LI |
| author_facet | Jing LIN Tian-qiang HUANG Ling-peng LIN Xiao-chen1 LI |
| author_sort | Jing LIN |
| collection | DOAJ |
| description | Copy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections,a new method based on local intensity order pattern was pro-posed.First,the LIOP feature descriptors were exacted from the inspected image.Then the angular cosine of feature de-scriptors were used to measure the similarity,and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor.Finally,the space distance of the matching points were calculated to remove the false matching points.Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area,but also have high accuracy and ro-bust to scaling,rotation,brightness change and some post-processing,such as Gaussian blur,additive white Gaussian noise and JPEG compression. |
| format | Article |
| id | doaj-art-649a9915d2b040d4a47b35c4bb787be3 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-649a9915d2b040d4a47b35c4bb787be32025-01-14T07:11:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-013713213959706066Detection of image copy-move forgery using local intensity order patternJing LINTian-qiang HUANGLing-peng LINXiao-chen1 LICopy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections,a new method based on local intensity order pattern was pro-posed.First,the LIOP feature descriptors were exacted from the inspected image.Then the angular cosine of feature de-scriptors were used to measure the similarity,and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor.Finally,the space distance of the matching points were calculated to remove the false matching points.Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area,but also have high accuracy and ro-bust to scaling,rotation,brightness change and some post-processing,such as Gaussian blur,additive white Gaussian noise and JPEG compression.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016259/image tampering detectioncopy-move forgeryfeature descriptionlocal intensity order pattern |
| spellingShingle | Jing LIN Tian-qiang HUANG Ling-peng LIN Xiao-chen1 LI Detection of image copy-move forgery using local intensity order pattern Tongxin xuebao image tampering detection copy-move forgery feature description local intensity order pattern |
| title | Detection of image copy-move forgery using local intensity order pattern |
| title_full | Detection of image copy-move forgery using local intensity order pattern |
| title_fullStr | Detection of image copy-move forgery using local intensity order pattern |
| title_full_unstemmed | Detection of image copy-move forgery using local intensity order pattern |
| title_short | Detection of image copy-move forgery using local intensity order pattern |
| title_sort | detection of image copy move forgery using local intensity order pattern |
| topic | image tampering detection copy-move forgery feature description local intensity order pattern |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016259/ |
| work_keys_str_mv | AT jinglin detectionofimagecopymoveforgeryusinglocalintensityorderpattern AT tianqianghuang detectionofimagecopymoveforgeryusinglocalintensityorderpattern AT lingpenglin detectionofimagecopymoveforgeryusinglocalintensityorderpattern AT xiaochen1li detectionofimagecopymoveforgeryusinglocalintensityorderpattern |