Residual Information of Redacted Images Hidden in the Compression Artifacts
Information Hiding
MPSteg-color: data hiding through redundant basis decomposition
IEEE Transactions on Information Forensics and Security
Digital image source coder forensics via intrinsic fingerprints
IEEE Transactions on Information Forensics and Security
A bibliography on blind methods for identifying image forgery
Image Communication
Anti-forensics of contrast enhancement in digital images
Proceedings of the 12th ACM workshop on Multimedia and security
JPEG error analysis and its applications to digital image forensics
IEEE Transactions on Information Forensics and Security
Estimating QP and motion vectors in H.264/AVC video from decoded pixels
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Analysis of images for local artificial changes with JPEG compression properties
Pattern Recognition and Image Analysis
Countering counter-forensics: the case of JPEG compression
IH'11 Proceedings of the 13th international conference on Information hiding
Crop detection through blocking artefacts analysis
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Image tampering detection using methods based on JPEG compression artifacts: a real-life experiment
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Analysis of images for local artificial changes with JPEG compression properties
Pattern Recognition and Image Analysis
Using JPEG quantization tables to identify imagery processed by software
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Proceedings of the first ACM workshop on Information hiding and multimedia security
Exploring heuristic and optimum branching algorithms for image phylogeny
Journal of Visual Communication and Image Representation
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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Sometimes image processing units inherit images in raster bitmap format only, so that processing is to be carried without knowledge of past operations that may compromise image quality (e.g., compression). To carry further processing, it is useful to not only know whether the image has been previously JPEG compressed, but to learn what quantization table was used. This is the case, for example, if one wants to remove JPEG artifacts or for JPEG re-compression. In this paper, a fast and efficient method is provided to determine whether an image has been previously JPEG compressed. After detecting a compression signature, we estimate compression parameters. Specifically, we developed a method for the maximum likelihood estimation of JPEG quantization steps. The quantizer estimation method is very robust so that only sporadically an estimated quantizer step size is off, and when so, it is by one value.