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Steganography in beautified images
Li Yun Liu1, Zi Chi Wang1, Zhen Xing Qian1
1The authors are with School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, P. R. China.
Mathematical Biosciences and Engineering : MBE
|May 30, 2019
Summary
This study enhances steganography by optimizing distortion functions for beautified images. The new method improves image hiding, making stego images harder to detect by steganalysis tools.
Area of Science:
- Computer Science
- Information Security
Background:
- Modern image processing often involves beautification filters before transmission.
- Existing steganography distortion functions are optimized for natural, unprocessed images and may fail on filtered images.
Purpose of the Study:
- To propose an optimized distortion function for steganography in beautified images.
- To improve the undetectability of hidden information in processed images.
Main Methods:
- An image beautification software was used to create two similar versions of an unprocessed image.
- One beautified image was used for data embedding, while the other served as a reference.
- Existing distortion functions were modified to differentiate embedding costs for ±1 embedding, guided by the reference image.
Main Results:
- The proposed method embeds data such that the stego image closely resembles the reference beautified image.
- Experimental results demonstrate a significant increase in undetectability against advanced steganalysis tools.
Conclusions:
- The optimized distortion function effectively enhances steganography security for beautified images.
- This approach offers improved resistance to modern steganalysis techniques.
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