In the era of today's world verification of images plays an important role. Various image editing tools are available in the market which can make changes in image in different ways. By using these tools, we can make slight changes in the image by resizing, rotating, noise addition and stretching an image or by splicing or copy move which is difficult to detect by human eyes. The digital images plays important role in many fields such as criminal and forensic investigation, military, journalism etc. So we needed some forgery detection technique for digital image. This paper reviews techniques for pixel-based forgery detection. First is copy-move or cloning and second is fast-copy move detection. In copy-move or cloning technique a part of the image is copied and pasted into another part of the image. But this image has limitation of only shifting of copied regions. So, second technique fast-copy move detection is discussed. Its result is complex but precise. Main disadvantage of fast-copy move technique it is not being able to detect for very small region.
목차
Abstract 1. Introduction 2. Literature Review 3. Current Techniques A. Re-sampling B. Statistical C. Fast-copy move forgery detection technique D. Copy-move forgery detection technique 4. 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.8 No.7