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Data hiding in image and video: Part I--fundamental issues and solutions
1Dept. of Electr. and Comput. Eng., Univ. of Maryland, College Park, MD 20742, USA. minwu@eng.umd.edu
Summary
This study introduces adaptive data hiding techniques for images and video, developing a multilevel embedding framework and adaptive solutions to improve data extraction under varying noise conditions and embedding capacities.
Area of Science:
- Computer Science
- Digital Signal Processing
- Information Security
Background:
- Data hiding in digital media is crucial for copyright protection and secure communication.
- Existing methods face challenges with noise and varying embedding capacities in visual signals.
Purpose of the Study:
- To address fundamental issues in image and video data hiding.
- To propose adaptive frameworks for robust data extraction under diverse conditions.
Main Methods:
- Developed a novel multilevel embedding framework adapting to noise conditions.
- Compared modulation and multiplexing techniques for multi-bit data hiding.
- Proposed adaptive solutions for non-stationary visual signals, balancing embedding rates and control bits.
Main Results:
- The proposed multilevel framework allows adaptive data extraction based on noise levels.
- Comparative analysis of techniques informs efficient multi-bit data hiding strategies.
- Adaptive solutions effectively manage uneven embedding capacities in visual signals.
Conclusions:
- The proposed adaptive data hiding solutions enhance robustness and efficiency in image and video.
- These foundational techniques pave the way for practical applications in Part II.
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