发明名称 |
Method and apparatus for a natural image model based approach to image splicing/tampering detection |
摘要 |
Embodiments of the invention are directed toward methods for an effective blind, passive, splicing/tampering detection. The methods of the various embodiments of the invention use a natural image model to detect image splicing/tampering with a model that is based on statistical features extracted from a given test image and multiple 2-D arrays generated by applying the block discrete cosine transform (BDCT) with several different block-sizes to the test images. Experimental results have demonstrated that the new splicing detection scheme outperforms state-of-the-art methods by a significant margin when applied to the Columbia Image Splicing Detection Evaluation Dataset.
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申请公布号 |
US8023747(B2) |
申请公布日期 |
2011.09.20 |
申请号 |
US20070673529 |
申请日期 |
2007.02.09 |
申请人 |
NEW JERSEY INSTITUTE OF TECHNOLOGY |
发明人 |
SHI YUN-QING;CHEN CHUNHUA |
分类号 |
G06K9/36;G06K9/00 |
主分类号 |
G06K9/36 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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