Optimization of MSFs for watermarking using DWT-DCT-SVD and fish migration optimization with QUATRE

Abstract

Nowadays, the security of information has attracted widespread attention. When multimedia information is transmitted to the receiver over the Internet, it is usually protected. As an effective means for protecting the copyright of multimedia information, digital watermarking has developed rapidly in recent years. The paper proposes a new algorithm for embedding secret data into the color cover image to obtain satisfactory imperceptibility and robustness. Specifically, a new strategy called fish migration optimization with QUasi-Affine TRansformation evolutionary Fish Migration Optimization (QTFMO) that is constructed by combing Fish Migration Optimization (FMO) into QUasi-Affine TRansformation Evolutionary (QUATRE) is proposed to select adaptively multiple scaling factors (MSFs). QTFMO learns in a matrix form based on FMO. The data is embedded into the original color image, which is decomposed by Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Single Value Decomposition (SVD). The experimental results demonstrate that our method performs well on Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) compared to similar watermarking algorithms.