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Digital image tamper detection method based on adaptive feature points

A technology of tampering detection and digital image, applied in the field of digital image tampering detection based on adaptive feature points, image tampering detection based on feature points

Active Publication Date: 2018-06-05
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 tamper detection method based on adaptive feature points
  • Digital image tamper detection method based on adaptive feature points
  • Digital image tamper detection method based on adaptive feature points

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Embodiment Construction

[0051] 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.

[0052] Convention: I refers to the image to be detected; Refers to the SURF feature points selected by the adaptive threshold; Refers to the threshold that controls the minimum number of feature points in an image block; Refers to the feature points processed by the uniform distribution algorithm; Refers to the abscissa of the feature point; Refers to the ordinate of the feature point; Refers to the number of uniformly distributed feature points; Refers to the matrix used to store all BRISK feature information; Indicates the first of the data point features; refers to the number of binary decisions; fern one of the boxes; for class; Refers to the gray value of the real-time...

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Abstract

The invention discloses a digital image tamper detection method based on adaptive feature points, which comprises the steps of firstly extracting SURF feature points through an adaptive threshold selection algorithm, and enabling the image feature points to be uniformly distributed by using a distributed processing algorithm at the same time; secondly, extracting binary feature descriptors of allfeature points by using a BRISK method; then performing fast feature matching by using a distinguishable embedded random fern algorithm; and finally, eliminating incorrect matched pairs through an RANSAC algorithm, marking matched areas by further using a fast NNPROD algorithm and a morphological method. Experimental results show that the method disclosed by the invention not only can effectivelyimprove the smooth tamper area detecting performance, but also has invariance for the post-processing operations such as JPEG compression, rotation and scaling, and has high detection precision and low time complexity.

Description

technical field [0001] The invention 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, and belongs to the technical field of digital image authentication. 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 re...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/33
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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