Earticle

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

키워드

저자

• Feng Liu [ College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China, Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, China ] Corresponding Author
• Hao Feng [ College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605