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.
CITATION STYLE
Narayanan, G., & Shi, Y. Q. (2011). A statistical model for quantized AC block DCT coefficients in JPEG compression and its application to detecting potential compression history in bitmap images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6526 LNCS, pp. 75–89). Springer Verlag. https://doi.org/10.1007/978-3-642-18405-5_7
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