Title :
Blind inpainting forgery detection
Author :
Dang Thanh Trung ; Beghdadi, Azeddine ; Larabi, Mohamed-Chaker
Author_Institution :
L2TI, Univ. Paris 13, Paris, France
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;
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
DOI :
10.1109/GlobalSIP.2014.7032275