Title
A Statistical model for quantized AC block DCT coefficients in JPEG compression and its application to detecting potential compression history in bitmap images
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.
Year
DOI
Venue
2010
10.1007/978-3-642-18405-5_7
IWDW
Keywords
Field
DocType
potential compression history,potential jpeg compression history,jpeg compression,independent jpeg group,generalized gaussian model,dct coefficient,history detection,custom quantization table,non-quantized block,novel method,bitmap image,quantized ac block dct,quantized block,statistical model,statistical analysis,probability mass function,jpeg,pmf
Lossless JPEG,Compression artifact,Computer science,Discrete cosine transform,Color Cell Compression,Theoretical computer science,JPEG,JPEG 2000,Quantization (image processing),Data compression
Conference
Volume
ISSN
Citations 
6526
0302-9743
1
PageRank 
References 
Authors
0.35
10
2
Name
Order
Citations
PageRank
Gopal Narayanan110.35
Yun Qing Shi251823.34