Method and apparatus for a natural image model based approach to image/splicing/tampering detection
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United States of America Patent
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Sep 20, 2011
Grant Date -
Aug 14, 2008
app pub date -
Feb 9, 2007
filing date -
Feb 9, 2007
priority date (Note) -
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Abstract
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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