Image falsification detecting and falsification positioning method based on image signature

Abstract

The invention discloses an image falsification detecting and falsification positioning method based on an image signature, which comprises the following steps: performing noise-depressing treatment on an original image; extracting image characteristic points by utilizing an adaptable Harris angular point detection algorithm; constructing a characteristic point neighborhood; calculating a statistic quantity in the characteristic point neighborhood, acquiring a characteristic vector value and generating a middle signature; performing Huffman coding, thereby acquiring the final signature of the original image; performing the Huffman decoding on the final signature of the original image, thereby acquiring the middle signature of the original image; generating the middle signature of a detected image; defining a distance between the two middle signatures and judging if the detected image is falsified; and positioning a falsified area. The method provided by the invention has excellent robustness to the image processing operations of visually acceptable geometric deformation and content retention such as JPEG (joint photographic experts group) compression, noise adding, filtering, and the like, has excellent sensitivity to the spite falsification attack, and can be used for confirming the position of the falsified area.

Description

technical field [0001] The invention belongs to the technical field of image tampering detection, and in particular relates to an image tampering detection and tampering positioning method based on an image signature. Background technique [0002] With the development of network and digital technology, the exchange of multimedia information has reached an unprecedented breadth. At the same time, with the development of multimedia processing technology and the application of powerful image editing software, users can easily edit and tamper with the original image data to create a fake effect. [0003] Tampering and forging images have greatly reduced the credibility of multimedia data itself, subverting the long-standing concept of "seeing is believing" in people's minds. How to effectively identify the integrity and authenticity of multimedia content has become an important hot issue and a difficult problem that needs to be solved urgently faced by the legal circle and the ...

AI Technical Summary

Problems solved by technology

This method is robust to JPEG compression, Gaussian smoothing, and median filtering. However, since this method only uses the endpoints of the image to generate signatures, it is only robust to small geometric deformations of the image.

This method only uses the endpoint coordinates to generate an image signature, without image-based content, so it is powerless to change the image color

At the same time, the signature method can only verify whether the image has been tampered with, and does not have the ability to locate tampered

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