Remote Sensing Image Watermarking using Archimedes Optimization Algorithm and Discrete Cosine Transform
Minal Bodke, Sangita Santosh Chaudhari · 2024
The unprecedented growth in internet users and various social media platforms increases storage and transfer of digital data and hence leads towards security of this data. The data security ensures the ownership of the multimedia content. Watermarking, steganography, and encryption are the key technologies used to preserve multimedia content ownership. The multispectral images consist of many spectral bands of the images where watermarking is challenging to apply. This paper presents the multispectral image watermarking using the Archimedes Optimization algorithm (AoA) and Discrete Cosine Transform (DCT). The AoA algorithm selects the spectral band with the highest variability as a cover image for watermarking. The DCT is used to watermark the secret logo in the cover image. The performance of the suggested watermarking scheme is estimated based on peak signal-to-noise ratio (PSNR), mean square error (MSE), and structural similarity index (SSIM).