Title :
Doctored JPEG image detection
Author :
Li, Weihai ; Yu, Nenghai ; Yuan, Yuan
Author_Institution :
MOE-Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei
fDate :
June 23 2008-April 26 2008
Abstract :
Nowadays, digital images can be easily modified by using software. In this paper, a new blind approach is proposed to detect copy-paste trail in a doctored JPEG image, i.e., to check whether a copied area came from the same image or not. When a copy-paste procedure is done on an image, especially adding or hiding an object, the block artifact grid contained in the copy-pasted slice is moved together. Since a slice must be placed properly in the target image to avoid obvious vision flaw, the grid in the slice mismatches to the original grid in the target image normally. Our approach utilizes the mismatch information of block artifact grid as a clue of copy-paste forgery. Experiment results demonstrate the efficiency of the proposed approach.
Keywords :
object detection; watermarking; blind approach; block artifact grid; copy-paste forgery; copy-paste procedure; copy-paste trail; doctored JPEG image detection; vision flaw; Discrete cosine transforms; Forensics; Forgery; Image analysis; Image coding; Laboratories; Protection; Quantization; Transform coding; Watermarking; DCT grid; JPEG standard; Passive image forensics; block artifact; copy-paste forgery;
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
DOI :
10.1109/ICME.2008.4607419