Large Capacity Data Hiding in Binary Image black and white mixed regions
Yuanlin Yang

TL;DR
This paper introduces a high-capacity, low-distortion data hiding method for binary images with mixed black and white regions, using efficient encoding to preserve image semantics and enable real-time applications.
Contribution
The paper proposes a novel information hiding technique in binary images' mixed regions, reducing visual distortion and achieving high capacity with low computational cost.
Findings
Feasibility demonstrated through experiments
High-capacity hiding with minimal visual distortion
Suitable for real-time applications
Abstract
Information hiding technology utilizes the insensitivity of human sensory organs to redundant data, hiding confidential information in the redundant data of these public digital media, and then transmitting it. The carrier media after hiding secret information only displays its own characteristics, which can ensure the transmission of confidential information without being detected, thereby greatly improving the security of the information. In theory, any digital media including image, video, audio, and text can serve as a host carrier. Among them, hiding information in binary images poses great challenges. As we know, any information hiding method involves modifying the data of the host carrier. The more information hidden, the more data of the host carrier are modified. In this paper, we propose information hiding in the black-and-white mixed region of binary images, which can greatly…
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