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Coverless Image Steganography Method Based on Snellen-Chart Generation
Gamal, Mohamed El-Sawy, Ahmed Seddik, Al Hussien
Gamal, Mohamed
El-Sawy, Ahmed
Seddik, Al Hussien
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Supervisor
Date
2025-11-28
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IJEEE-V12I11P110.pdf
Adobe PDF, 594.37 KB
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Abstract
Conventional Image Steganography typically hides data via pixel-level modifications within digital images, a process that can leave detectable statistical traces when analyzed with advanced steganalysis methods. To overcome this, a coverless data hiding method is proposed. Coverless data hiding does not mean there is no cover at all. Image generation is essential for creating a robust coverless steganography system capable of addressing various information hiding challenges effectively. An Image-Generation-Based Coverless Steganography System is presented in this paper for the secure transmission of hidden messages. The generated image resembles the well-known Snellen chart utilized in vision/eye tests, and is therefore referred to as "Eye Vision Test" within the paper. The proposed method has two phases. First, the sender uses a hiding algorithm to create an "Eye Test Image" from the secret message bits. Then, the receiver uses a method to get the original secret message from the Eye Test Image. The paper ends by showing a coverless steganography system based on the proposed algorithms. Tests and analysis demonstrated that the proposed system performed exceptionally well in terms of strength, security, and hiding ability, outperforming other coverless image steganography methods. Testing indicated that the proposed system is capable of hiding 98 bits within each generated cover image while achieving a complete success rate against various attacks, including scaling, compression, and noise. The results indicate that the method utilizing the Snellen chart is superior to existing coverless steganography techniques in terms of robustness, security, and data capacity.