DocumentCode
257982
Title
Blind inpainting forgery detection
Author
Dang Thanh Trung ; Beghdadi, Azeddine ; Larabi, Mohamed-Chaker
Author_Institution
L2TI, Univ. Paris 13, Paris, France
fYear
2014
fDate
3-5 Dec. 2014
Firstpage
1019
Lastpage
1023
Abstract
The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.
Keywords
image forensics; image restoration; authenticate digital copies; blind inpainting forgery detection; digital images; illegal image manipulation; image editing; image pixels; image processing; object removal; unauthorized image manipulation; Detection algorithms; Digital images; Feature extraction; Forgery; Multimedia communication; Signal processing; Signal processing algorithms; Inpainting forgery detection; digital image forensics; digital tamper detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/GlobalSIP.2014.7032275
Filename
7032275
Link To Document