Track: Research Track |
| Preserving the Integrity of Hyperspectral Imagery using a Secure and Efficient Reversible Watermarking Technique for Ownership Protection |
| Hyperspectral data plays a crucial role in various fields, including remote sensing, environmental monitoring and medical imaging. With the increasing importance of hyperspectral data, the need for secure transmission and storage has become imperative. Protecting the ownership and integrity of hyperspectral data is essential to prevent unauthorized access and ensure its reliability. This paper presents a novel approach to address these challenges by introducing a secure and efficient reversible watermarking method for ownership protection. The proposed method embeds ownership information into the hyperspectral data without affecting the spectral information. The technique involves three steps: embedding, extraction and restoration, and enables reversible watermark removal. The performance of the method is evaluated using metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Normalized Correlation (NC) and shows high ownership protection while maintaining visual quality and fidelity. The experimental results confirm the effectiveness of the proposed technique and show its robustness to various attacks and computational efficiency. This research helps preserve the integrity of hyperspectral data and provides a reliable solution for property protection in critical decision-making applications. |
|
| Presentation Video |
