Proceedings of the 10th ACM workshop on Multimedia and security
Exposing digital forgeries from JPEG ghosts
IEEE Transactions on Information Forensics and Security
YASS: yet another steganographic scheme that resists blind steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
Robust and secure image hashing
IEEE Transactions on Information Forensics and Security
Detection of Double-Compression in JPEG Images for Applications in Steganography
IEEE Transactions on Information Forensics and Security
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
Identification of bitmap compression history: JPEG detection and quantizer estimation
IEEE Transactions on Image Processing
Derivation of prediction equations for blocking effect reduction
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifact detection and reduction in compressed data
IEEE Transactions on Circuits and Systems for Video Technology
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation
IEEE Transactions on Circuits and Systems for Video Technology
An optimization approach for removing blocking effects in transform coding
IEEE Transactions on Circuits and Systems for Video Technology
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
JPEG-Compatibility steganalysis using block-histogram of recompression artifacts
IH'12 Proceedings of the 14th international conference on Information Hiding
Robust median filtering detection based on filtered residual
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
A novel blind detector for additive noise steganography in JPEG decompressed images
Multimedia Tools and Applications
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JPEG is one of the most extensively used image formats. Understanding the inherent characteristics of JPEG may play a useful role in digital image forensics. In this paper, we introduce JPEG error analysis to the study of image forensics. The main errors of JPEG include quantization, rounding, and truncation errors. Through theoretically analyzing the effects of these errors on single and double JPEG compression, we have developed three novel schemes for image forensics including identifying whether a bitmap image has previously been JPEG compressed, estimating the quantization steps of a JPEG image, and detecting the quantization table of a JPEG image. Extensive experimental results show that our new methods significantly outperform existing techniques especially for the images of small sizes. We also show that the new method can reliably detect JPEG image blocks which are as small as 8 × 8 pixels and compressed with quality factors as high as 98. This performance is important for analyzing and locating small tampered regions within a composite image.