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Digital image tampering detection method based on adaptive feature points

A technology for tampering detection and digital image, which is applied in the field of digital image tampering detection based on adaptive feature points, and achieves the effects of high recognition, shortened time for locating the tampered area, and good distribution.

Active Publication Date: 2021-11-19
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

[0005] The present invention aims to solve the above-mentioned technical problems existing in the existing copy-paste tampering detection technology, and provides a digital image tampering detection method based on adaptive feature points

Method used

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  • Digital image tampering detection method based on adaptive feature points
  • Digital image tampering detection method based on adaptive feature points
  • Digital image tampering detection method based on adaptive feature points

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Embodiment Construction

[0053] The method of the present invention is as Figure 8 It includes five stages in total: adaptive threshold feature point detection, evenly distributed feature point acquisition, BRISK feature extraction, discriminable embedded random fern fast matching and post-processing.

[0054] Convention: I refers to the image to be detected; K(i,j) refers to the SURF feature points selected by adaptive threshold; θ refers to the threshold controlling the minimum number of feature points in the image block; K W (i, j) refers to the feature points processed by the uniform distribution algorithm; i refers to the abscissa of the feature point; j refers to the ordinate of the feature point; W refers to the number of uniformly distributed feature points; X W Refers to the matrix used to store all BRISK feature information; x kd Indicates the d-th feature of the k-th data point; S refers to the number of binary decisions; l refers to the fern L=2 S one of the boxes; c k Be class; f (a+x...

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Abstract

The invention discloses a digital image tampering detection method based on adaptive feature points. Firstly, the SURF feature points are extracted through an adaptive threshold selection algorithm, and at the same time, a distribution processing algorithm is used to make the image feature points evenly distributed; secondly, BRISK is used. The method extracts the binary feature descriptors of all feature points; then, uses the random fern algorithm with discriminable embedding for fast feature matching; finally, uses the RANSAC algorithm to eliminate the wrong matching pairs, and further uses the fast NNPROD algorithm and the morphological method to match The area is marked. Experimental results show that the method of the present invention can not only effectively improve the detection performance of smooth tampered areas, but also have invariance to post-processing operations such as JPEG compression, rotation, scaling, etc., and has high detection accuracy and low time complexity Spend.

Description

technical field [0001] The invention belongs to the technical field of digital image authentication, relates to an image tampering detection method based on feature points, in particular to a digital image tampering detection method based on adaptive feature points. Background technique [0002] In today's society, digital images are widely used in people's life and work. However, with the rapid development of computer image media technology, tampering of digital images has become easier to implement. If tampered digital images are used in courts, news reports, and scientific papers, it will pose a great threat to the stability of the social system. Therefore, more and more researchers have begun to pay attention to the problem of digital image tampering and propose various solutions. Existing tampering detection technologies are mainly divided into active detection and passive detection. Active detection methods such as digital signatures and digital watermarks all rely o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0002G06T2207/10004G06T2207/20081G06T7/33
Inventor 牛盼盼牛影杨红颖王向阳
Owner LIAONING NORMAL UNIVERSITY
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