Pixel-level image authentication, tampering detection and restoration method

Abstract

The invention discloses a pixel-level image authentication, tampering detection and restoration method. According to the method, different types of pictures are processed by discriminating picture categories; restoration watermark information is generated through Hamming codes and the compression principle; hash values generated in advance serve as authentication watermark information; positioningwatermark information is generated by disturbing picture pixel points; authenticity verification is performed on extracted data information through comparison; positions of tampered pixel points aredetected by comparing flag bits; and fuzzy restoration is performed on tampered images through error correction codes. Through the method, security protection can be performed on any grayscale image or color image; and a change with arbitrary granularity in an image can be detected, and the tampered pixel points can be positioned. By use of the method, authenticity verification can be performed onimages in arbitrary forms, such as scanning images, handwritten signatures and electronic files, and then pixel-level detection and restoration can be performed on the tampered images.

Description

technical field [0001] The invention belongs to the technical fields of image authentication, tampering detection, image restoration and information security, and specifically relates to pixel-level image authentication, tampering detection and restoration methods. Background technique [0002] With the wide application of the Internet and the rapid development of high-performance computers, pictures have increasingly become the main form for people to store, transmit and express information. In the context of today's information age, it is increasingly common to use the Internet to handle traditional affairs, government offices, and business activities, and various multimedia forms such as video, audio, and images have been widely used. In the whole process, the digital image is represented by a two-dimensional digital group, and each pixel is a limited value, which is stored on the network in a digital form. While the digital image brings us convenience and speed, the digi...

AI Technical Summary

Problems solved by technology

Fridrich applied this technology to the block-level scheme. Experiments show that the block-level will no longer suffer from the above-mentioned attacks, but it performs poorly in tampering localization ability, and the block-level scheme cannot locate the tampered pixels ([9][10 ][11])

[0006] In the existing image restoration technology, there are mainly two methods for generating the restored watermark: (1) 8×8 image blocks and quantization and encoding of important DCT (discrete cosine transform) coefficients, the disadvantage is that the positioning accuracy is low; (2) The 2×2 image is divided into blocks and averaged, which has high positioning accuracy, but is vulnerable to constant average attack and the recovery quality of non-smooth image blocks is not good

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