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Proceedings Paper

Double JPEG compression detection based on noise-free DCT coefficients histograms
Author(s): Nan Zhu; Junge Shen; Xiaotong Niu
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Paper Abstract

With the widespread usage of sophisticated image editing software, digital image tampering becomes very convenient and easy, which makes the detection of image authenticity significant. Among various image forensic tools, double JPEG image compression detector, which is not sensitive to specific tampering operation, has received large attention. In this paper, we propose an improved double JPEG compression detection method based on noise-free DCT coefficients histograms. Specifically, we eliminate the quantization noise which introduced by decompression and rounding operation before estimating the periodicity of the quantized DCT coefficients histograms. Then, a block-wise posterior probability map can be obtained from the estimated periodicity to expose the suspect regions. Extensive experimental results in both quantitative and qualitative terms prove the superior of our proposed method when compared with the related methods.

Paper Details

Date Published: 14 August 2019
PDF: 8 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792E (14 August 2019); doi: 10.1117/12.2539994
Show Author Affiliations
Nan Zhu, Xi'an Technological Univ. (China)
Junge Shen, Northwestern Polytechnical Univ. (China)
Xiaotong Niu, Xi'an Technological Univ. (China)

Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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