원문정보
초록
영어
Digital images are present everywhere on magazine covers, in newspapers, in courtrooms as evidences, and all over the Internet signifying one of the major ways for communication nowadays. The trustworthiness of digital images has been questioned, because of the ease with which these images can be manipulated in both its origin & content as a result of tremendous growth of digital image manipulation tools. Digital image forensics is the latest research field which intends to authorize the genuineness of images. This survey attempts to provide an overview of various digital image forgeries and the state of art passive methods to authenticate digital images.
목차
Abstract
1. Introduction
2. Classification of Image Authentication Techniques.
2.1. Active Authentication
2.2. Passive Authentication
3. General Framework for Forgery Detection
4. Copy-move Forgery Detection
5. Image Splicing
6. Image Retouching
7. Lighting Condition
8. Conclusion
References
1. Introduction
2. Classification of Image Authentication Techniques.
2.1. Active Authentication
2.2. Passive Authentication
3. General Framework for Forgery Detection
4. Copy-move Forgery Detection
5. Image Splicing
6. Image Retouching
7. Lighting Condition
8. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보