현재 위치
Home
DCT and DWT Based Methods for Detecting Copy-Move Image Forgery: A Review
-
- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
-
- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
-
- 통권
- Vol.9 No.10 (2016.10)바로가기
-
- 페이지
- pp.249-258
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A288633
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Nowadays, as various image manipulation tools are available very easily. Any person having a little knowledge about these tools can doctor the available images. So digital images are no longer trusted. Computer graphics and digital photography have made the tampering over image easy to commit but hard to detect. Although various image forgery techniques are available but copy-move image forgery is one of the most hard to detect image forgery. In Copy-Move image forgery a segment from the original image is copied and after performing some manipulation over that, segment is pasted at some other location on the same image. This forgery is intended to hide noticeable information shown by the image or for adding information in original image to convey a wrong message. We cannot identify such forgery on the basis of incompatibilities present in an image because the copied segment is taken from the same image so the properties like noise, blur, texture, color palette remain similar to the original image. So, copy-move image forgery is a serious threat to Image forensic Investigators. Researchers have developed several methods for detecting such kind of forgery based on exhaustive search and block based methods. Block based method is more successful in detecting such kind of forgery due to its speed and less complexity. In this paper we discuss forgery detection techniques based on Discrete Cosine Transform and Discrete Wavelet Transform.
목차
Abstract
1. Introduction
1.1. Image Retouching
1.2. Image Splicing
1.3. Copy-Move Image Forgery
2. Image Forgery Detection Techniques
2.1. Active Approach
2.2. Passive Approach
3. Discrete Cosine Transform
4. Discrete Wavelet Transform
4.1. 2-Dimensional Wavelet Transform
5. Related Work
6. Conclusion
References
키워드
Copy-Move Detection Accuracy Discrete Cosine Transform Discrete Wavelet Transform False Positives False Negatives Image compression Lexicographic sorting저자
간행물 정보
발행기관
-
- 발행기관명
- 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 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.10
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
출처 : 네이버학술정보
0개의 논문이 장바구니에 담겼습니다.