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Scaling factor estimation on JPEG compressed images by cyclostationarity analysis

Authors:

Yuileong YeungAuthors Info & Claims

Multimedia Tools and Applications, Volume 78, Issue 7

Pages 7947 - 7964

https://doi.org/10.1007/s11042-018-6411-9

Published: 01 April 2019 Publication History

Abstract

Scaling factor estimation is one of the most important topics in image forensics. The existing methods mainly employ the peak of the Fourier spectrum of the variance on image difference to detect the scaling factor. However, when the image is compressed, there will be additional stronger peaks which greatly affect the detection ability. In this paper, a novel method to estimate the scaling factor on JPEG compressed images in the presence of image scaling before the compression is proposed. We find the squared image difference can more effectively obtain the resampling characteristics, and we will mathematically show its periodicity. To further improve the detection ability, we analyze the flat block. It also produces periodic peaks in the spectrum, meanwhile which are enhanced by JPEG compression. To solve this problem, a method based on interpolation on the flat block is developed to remove these influences. The experimental results demonstrate that the proposed detection method outperforms some state-of-the-art methods.

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Cited By

Guan YTan SLi Q(2023)Binary steganography based on generative adversarial netsMultimedia Tools and Applications10.1007/s11042-022-13581-w82:5(6687-6706)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1007/s11042-022-13581-w
Luo HDu XDong LSu GChen R(2021)Reliable Edge Intelligence Using JPEG ProgressiveAlgorithmic Aspects in Information and Management10.1007/978-3-030-93176-6_30(356-368)Online publication date: 20-Dec-2021
https://dl.acm.org/doi/10.1007/978-3-030-93176-6_30

Index Terms

Scaling factor estimation on JPEG compressed images by cyclostationarity analysis

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 78, Issue 7

Apr 2019

1569 pages

ISSN:1380-7501

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Copyright © Copyright © 2019 Springer Science+Business Media, LLC, part of Springer Nature.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 April 2019

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Cited By

Guan YTan SLi Q(2023)Binary steganography based on generative adversarial netsMultimedia Tools and Applications10.1007/s11042-022-13581-w82:5(6687-6706)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1007/s11042-022-13581-w
Luo HDu XDong LSu GChen R(2021)Reliable Edge Intelligence Using JPEG ProgressiveAlgorithmic Aspects in Information and Management10.1007/978-3-030-93176-6_30(356-368)Online publication date: 20-Dec-2021
https://dl.acm.org/doi/10.1007/978-3-030-93176-6_30

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