A generalized Benford's law for JPEG coefficients and its applications in image forensics

By Dongdong Fu, Y. Shi, Wei Su. Electronic imaging, 2007

340 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1cc9c45325f3374c124899be0901d5728eebfac6

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Citations in the corpus

Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts (2012, methodology): “Based on the observation that the distribution of the first digit of DCT coefficients in single JPEG compressed images follows the generalized Benford distribution, in [3] and [4] the statistical distribution of first digits in quantized DCT coefficients is used as feature set for detecting double J”
Information Forensics: An Overview of the First Decade (2013, methodology): “The distribution of the first digit of an image’s DCT coefficients can also be used to detect double JPEG compression [54].”
Towards Flexible Blind JPEG Artifacts Removal (2021, methodology): “[14] showed that if an image has been JPEG compressed only once, then the first digits of the quantized JPEG coefficients follow a Benford-like logarithmic law.”
An Overview on Image Forensics (2013, methodology): “Based on the observation that in natural images the distribution of the �rst digit of DCT coefficients in single JPEG compressed images follows the generalized Benford’s law [74], in [75, 76], two detection methods are proposed.”
Media Forensics and DeepFakes: An Overview (2020, methodology): “Other methods [86], [87] look for anomalies in the statistical”
Digital image forgery detection using passive techniques: A survey (2013, methodology): “A statistical model based on Benford's law for the probability distributions of the first digits of the block-DCT and quantized JPEG coefficients was obtained by Fu et al. (2007).”
Detection of Double-Compression in JPEG Images for Applications in Steganography (2008, methodology): “In Section III, we mentioned an approach proposed by Shi et al. [7] to use the histogram of the distribution of the first digit of DCT coefficients as a feature vector for a classifier detecting double-compression.”
Digital image forensics: a booklet for beginners (2010, background): “As an example, in [92] Wang and others propose a probabilistic analysis of Generalized Benford’s Law, which was previously proposed for tampering detection in [36] (cfr.”