Subject Area
Electronics and Communication Engineering
Article Type
Original Study
Abstract
Traditional fragile watermarking schemes often struggle to balance tamper detection accuracy, image quality, and processing speed. This paper presents a novel adaptive fragile watermarking scheme that leverages Canny-edge detection to dynamically adjust watermark embedding based on image features. The proposed approach classifies image regions into smooth and dense areas. Larger 4×4 blocks are employed in smooth regions, prioritizing visual quality and processing speed, while smaller 2×2 blocks are used in edge and dense regions to enhance tamper detection accuracy. This adaptive strategy effectively balances competing factors, resulting in superior recovered image quality compared to fixed-block schemes. Experimental results demonstrate the effectiveness of the proposed scheme. Watermarked images exhibit an average PSNR of 46.5 dB, maintaining high visual quality. The scheme achieves over 97% tamper detection accuracy even with significant tampering exceeding 90%. Furthermore, the proposed method demonstrates robustness against collage attacks and outperforms existing techniques in both tamper detection and visual quality.
Keywords
Fragile Watermarking, Image authentication, Canny Edge Detection, Tamper Detection, Tamper restoration
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ibrahim, Merna E.; Abdelfattah, Mohamed G.; and Mohamed, Mohamed A.
(2025)
"Adaptive Watermarking Scheme for Enhanced Image Authentication and Restoration,"
Mansoura Engineering Journal: Vol. 50
:
Iss.
4
, Article 2.
Available at:
https://doi.org/10.58491/2735-4202.3269