Detecting non-aligned double jpeg compression based on amplitude-angle feature

Document Type

Article

Publication Date

11-1-2021

Abstract

Due to the popularity of JPEG format images in recent years, JPEG images will inevitably involve image editing operation. Thus, some tramped images will leave tracks of Non-aligned double JPEG (NA-DJPEG) compression. By detecting the presence of NA-DJPEG compression, one can verify whether a given JPEG image has been tampered with. However, only few methods can identify NA-DJPEG compressed images in the case that the primary quality factor is greater than the secondary quality factor. To address this challenging task, this article proposes a novel feature extraction scheme based optimized pixel difference (OPD), which is a new measure for blocking artifacts. Firstly, three color channels (RGB) of a reconstructed image generated by decompressing a given JPEG color image are mapped into spherical coordinates to calculate amplitude and two angles (azimuth and zenith). Then, 16 histograms of OPD along the horizontal and vertical directions are calculated in the amplitude and two angles, respectively. Finally, a set of features formed by arranging the bin values of these histograms is used for binary classification. Experiments demonstrate the effectiveness of the proposed method, and the results show that it significantly outperforms the existing typical methods in the mentioned task.

Identifier

85123272887 (Scopus)

Publication Title

ACM Transactions on Multimedia Computing Communications and Applications

External Full Text Location

https://doi.org/10.1145/3464388

e-ISSN

15516865

ISSN

15516857

Issue

4

Volume

17

Grant

KYCX200974

Fund Ref

National Natural Science Foundation of China

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