원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.9 No.9
2014.09
pp.189-200
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
With the widespread use of powerful image editing tools, the demand for identifying the authenticity of an image is much increased. Copy-move forgery is one of the most common and immediate tampering attacks, and is one type of image forgery where one region of an image is copied to another region in an attempt to cover some potentially important features. In this paper a Novel approach is presented for image copy-move forgery detection and localization based on SVD and Projection Data. Experiment results demonstrate that our proposed algorithm can effectively detect multiple copy-move forgery and precisely locate the duplicated regions, even when an image was distorted by Gaussian blurring,JPEG compression and their mixed operations.
목차
Abstract
1. Introduction
2. The Basic Theory
2.1. Singular Value Decomposition
2.2. The Projection Data
2.3. The Method of Expanding Block
3. The Proposed Algorithm
4. Experiment Results and Analysis
4.1. Evaluation Criteria
4.2. The Visual Results
4.3. Comparison with Other Algori
5. Conclusions
References
1. Introduction
2. The Basic Theory
2.1. Singular Value Decomposition
2.2. The Projection Data
2.3. The Method of Expanding Block
3. The Proposed Algorithm
4. Experiment Results and Analysis
4.1. Evaluation Criteria
4.2. The Visual Results
4.3. Comparison with Other Algori
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보