Secure and Robust Digital Image Watermarking Technique to Secure Medical Images
Chandan Kumar · Advances in information security, privacy, and ethics book series · 2025
This paper presents a novel watermarking method that utilizes the combined power of the Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT),and Set Partitioning in Hierarchical Trees (SPIHT) algorithm. Our method embeds two distinct watermarks,into different sub-bands of host image.Initially, the cover image and Watermark1 undergo optimization using hybrid optimization techniques(Particle Swarm Optimization and the Butterfly Optimization). Subsequently, Watermark1 is encrypted using the Arnold transform, while Watermark 2 is encoded using a Hamming encoder. Both encrypted watermarks are then embedded into their respective sub-bands.To compress the watermarked image,while retaining the embedded watermarks, we apply the SPIHT compression algorithm. The performance of our proposed method is evaluated against various attacks.Results demonstrate the robustness of the proposed method across these attacks.Notably, the proposed method achieves a maximum PSNR value of 48.50 dB and a maximum NC value of 0.9999, underscoring similarity between the original and watermarked images.