Double JPEG compression detection based on noise-free DCT coefficients histograms

Nan Zhu; Junge Shen; Xiaotong Niu

doi:10.1117/12.2539994

14 August 2019 Double JPEG compression detection based on noise-free DCT coefficients histograms

Nan Zhu, Junge Shen, Xiaotong Niu

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111792E (2019) https://doi.org/10.1117/12.2539994
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

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.

Citation Download Citation

Nan Zhu, Junge Shen, and Xiaotong Niu "Double JPEG compression detection based on noise-free DCT coefficients histograms", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792E (14 August 2019); https://doi.org/10.1117/12.2539994

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