Robustness of JPEG images based on F5 steganography

Jiayi Chen; Nan Xu; Li Cheng; Rongxiang Nie

doi:10.1117/12.3033577

13 June 2024 Robustness of JPEG images based on F5 steganography

Jiayi Chen, Nan Xu, Li Cheng, Rongxiang Nie

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131800Z (2024) https://doi.org/10.1117/12.3033577
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

The traditional F5 steganography algorithm hides the information in the whole image and uses matrix coding for information embedding, which can embed a large amount of information with little change, and has high embedding efficiency, but lacks robustness to compressed JPEG images. In this paper, a new F5 steganography technique is proposed, which combines F5 steganography with the combination of lossless carrier and complexity coefficient to process JPEG images. First, this paper constructs a lossless carrier to enhance the robustness of F5 steganography, then measures the complexity of the image by the complexity coefficient, and selects the complex pixel blocks for F5 steganography to further enhance the robustness of JPEG image steganography.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiayi Chen, Nan Xu, Li Cheng, and Rongxiang Nie "Robustness of JPEG images based on F5 steganography", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131800Z (13 June 2024); https://doi.org/10.1117/12.3033577

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KEYWORDS

Steganography

Matrices

Algorithm development

Cooccurrence matrices

Image compression

Image enhancement

Image processing

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