Detecting doubly compressed JPEG images by using mode based first digit features
Document Type
Conference Proceeding
Publication Date
12-31-2008
Abstract
In this paper, we utilize the probabilities of the first digits of quantized DCT (Discrete Cosine Transform) coefficients from individual AC (Alternate Current) modes to detect doubly compressed JPEG images. Our proposed features, named by Mode Based First Digit Features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image. © 2008 IEEE.
Identifier
58049107658 (Scopus)
ISBN
[9781424422951]
Publication Title
Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing Mmsp 2008
External Full Text Location
https://doi.org/10.1109/MMSP.2008.4665171
First Page
730
Last Page
735
Recommended Citation
Li, Bin; Shi, Yun Q.; and Huang, Jiwu, "Detecting doubly compressed JPEG images by using mode based first digit features" (2008). Faculty Publications. 12375.
https://digitalcommons.njit.edu/fac_pubs/12375
