Akademik Veri Yönetim Sistemi
2025 International Symposium on Networks, Computers and Communications, ISNCC 2025, Paris, Fransa, 27 - 29 Ekim 2025, (Tam Metin Bildiri)
In this paper, we propose a robust and blind image watermarking scheme based on Quantization Index Modulation (QIM), utilizing Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT). The method adaptively adjusts the watermark bit strength with proper pixel value modification, embedding it into the middle-frequency band of DCT coefficients and selected DWT subbands. The embedding strength is dynamically tuned based on local coefficient magnitudes, ensuring minimal visual distortion while maintaining high resistance to common image processing attacks-particularly filtering, compression, and noise. To improve security and unpredictability-unlike traditional random bit generators with fixed seeds-our proposal uses a Physical Unclonable Function (PUF) device, which provides a hardware-rooted source of entropy that is extremely difficult for attackers to predict. This approach dynamically inserts watermark bits, satisfying all core properties of a robust watermarking benchmark. The proposed method is fully blind, and the experimental results show an outstanding Peak Signal-to-Noise Ratio (PSNR >80 dB), making our scheme a powerful method in terms of robustness and imperceptibility. Additionally, the Structural Similarity Index (SSIM) reaches near-perfect levels, and the Bit Correction Rate (BCR=100%) confirms the method's efficiency and visual fidelity.