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Digital Image Blind Authentication Algorithm Research of Copy-Move

Author: ZhangFeiFei
Tutor: JingTao
School: Beijing Jiaotong University
Course: Communication and Information System
Keywords: Blind detection Copy-Move Correlation algorithm Eigenvalue moment algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 176
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Abstract


Image as an enabling information transmission carrier, was wildly used in news reports, intelligence information collection and network environment. With the development of image-editing software, images could be edited such as image anastomosis, image synthesis and image graphics processing, which the human eye was difficult to tell whether the image had been tampered. This had brought a lot of trouble to the press, the legal profession and the financial sector, sparked crisis of confidence in the Internet and the public. Passive image authentication was mainly directed image content, so studying digital image forensics technology was the key to resolve the current image forensics.This paper analyzed the principles and characters of the exiting image forensics technology, the theoretical background, experimental environment, mathematical models and algorithms, discussed the general model and the ideal model of the digital image forensics, determined the research points of this paper was the Copy-Move.This paper was aimed at the image that only through the Copy-Move method firstly. This approach was usually calculating the correlation to detect the distorted image. This paper analyzed the current algorithm theory, ideological and implementation and proposed correlation forensics algorithm based on feature pixel. In the detection process, the dual-tree complex wavelet transform was used to reduce the image dimensions, this algorithm reduced the complexity and improved the detection accuracy. The experimental result indicated that tampering authentication method proposed in this paper could effectively combat the impact of noise on the certification, this approach had the good robust to the general noise such as Gaussian noise and low frequency filter.In the reality, the image was through the Copy-Move operation, there may be rotation, scaling and other operation. Therefore, after detected the image that only through the Copy-Move operation, the tampered with rotation, scaling and other forensic operation will be detected in this paper. This paper presented digital image blind detection algorithm based on Radon and Fourier-Mellin transform. First, introduced several common eigenvalue moment algorithms, second, introduced the Radon and Fourier-Mellin algorithms and their properties, finally, the algorithm was applied to image detection, simulated and analyzed the results.The theoretical analysis and experimental results showed that the proposed algorithm result was better than detection method based on orthogonal moments, and the white noise with mean zero was significantly higher than the robustness of the detection method based on orthogonal moments.This paper had 1 table,30 images and 50 references.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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