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
Abstract 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
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.5