A statistical model for quantized AC block DCT coefficients in JPEG compression and its application to detecting potential compression history in bitmap images
Document Type
Conference Proceeding
Publication Date
1-1-2011
Abstract
We first develop a probability mass function (PMF) for quantized block discrete cosine transform (DCT) coefficients in JPEG compression using statistical analysis of quantization, with a Generalized Gaussian model being considered as the PDF for non-quantized block DCT coefficients. We subsequently propose a novel method to detect potential JPEG compression history in bitmap images using the PMF that has been developed. We show that this method outperforms a classical approach to compression history detection in terms of effectiveness. We also show that it detects history with both independent JPEG group (IJG) and custom quantization tables. © 2011 Springer-Verlag.
Identifier
85036612060 (Scopus)
ISBN
[9783642184048]
Publication Title
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
External Full Text Location
https://doi.org/10.1007/978-3-642-18405-5_7
e-ISSN
16113349
ISSN
03029743
First Page
75
Last Page
89
Volume
6526 LNCS
Recommended Citation
Narayanan, Gopal and Shi, Yun Qing, "A statistical model for quantized AC block DCT coefficients in JPEG compression and its application to detecting potential compression history in bitmap images" (2011). Faculty Publications. 11539.
https://digitalcommons.njit.edu/fac_pubs/11539
