원문정보
초록
영어
Digital image tamper detection by analyzing the statistical properties of the image content of the authenticity of the digital image, the scene authenticity and integrity of authentication methods, namely determine whether the image is the original image, whether the image is real and whether it contains other secret information image, these techniques is the digital image forensics. Digital image forensics technology is dependent on the basis of the original carrier may be divided into active and passive two technologies forensics evidence. This paper generated image detection research for digital image forensics scene authenticity certification in natural images and computer. Combining the results of recent research, based on systematic analysis of the differences between two types of image generation, high-end features for wavelet conducted a detailed study of the effectiveness, from the validity of the characteristic data, proposed several general-purpose computer generating an image detection algorithm. Compared with the previous detection algorithm, strong stability of the proposed algorithm, computational complexity is low, and has easy implementation.
목차
1. Introduction
2. The Basic Concept of Images and Digital Image Processing
3. Computer Image Detection Algorithm
A. Formation mechanism of natural images and computer-generated image
B. Image acquisition card
C. Image preprocessing
4. Experimental Results
A. Image multi-wavelet and filtering
B. The simulation experiment
C. Effect of high-frequency and low-frequency sub-band on the test results
Conclusion
References