Title :
Hiding the Trace of JPEG Compression History
Author :
Hong Yang ; Zhiping Zhou
Author_Institution :
Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China
Abstract :
Identifying and disguising the JPEG compression history has become a hot research point in recent days. The image forger could easily get the JPEG images as tampering materials, while the JPEG loss compression left a big influence on the image´s DCT histogram. This JPEG compression trace has become an important standpoint of compression forensic. In order to fool the compression forensic, the anti-forensic dithers have been added into the JPEG compressed image and became an uncompressed image format. However, that kind of fake lossless image could be identified by measuring how ´noisy´ the uncompressed image is after recompressing. This paper would help the forger hide JPEG compression history by recompressing and adding noise at different quality factor and restore the image quality by TV denoising. It could defend forensic attack aiming at anti-forensic dither by measuring the total variation (TV) of the image. The simulation results have proved that it can fool the TV detection forensic with a high image quality.
Keywords :
Q-factor; data compression; digital forensics; discrete cosine transforms; image coding; image denoising; JPEG compressed image; JPEG compression history; JPEG loss compression; TV denoising; TV detection forensic; anti-forensic dithers; compression forensic; fake lossless image; forensic attack; image DCT histogram; image forger; image quality; quality factor; tampering materials; uncompressed image format; Discrete cosine transforms; Forensics; Image coding; Noise; Q-factor; TV; Transform coding; Anti-forensics; DCT histogram; JPEG compression; Total variation;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
DOI :
10.1109/CSNT.2014.187