Enhanced Reversible Image Watermarking using Improved Moth Flame Optimization Algorithm
S Pradeep Kumar, Zainab Abed Almoussawi, G Sunil, J Ananda Babu, Muntather Almusawi · 2023
With enhancing connectivity, undefended digital content is susceptible for attacks and hence watermarking is significant to protect copyright. In this research, an efficient image reversible watermarking method is proposed. The proposed method uses selection of optimum position for embedding in accordance with entropy and relevance threshold for selection of entropy is done through Particle Swarm Optimization (PSO) algorithm. A method in Integer Wavelet Transform (IWT) is implemented, next Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) is integrated to the process of embedding in whole selected blocks and Fractal encrypted watermark are combined to image coefficients utilizing mean proximity coefficient. The process of embedding is done through optimum scale that is produced through Improved Moth-Flame Optimization (IMFO) algorithm in accordance with fitness function. The proposed method attained superior image quality and high embedding capacity. The performance of proposed method id evaluated with performance measures of Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM) and Normalized Correlation (NC). The proposed method attained high PSNR of 60.32 dB, SSIM of 0.9948 and NC of 0.9872 in Lena image which is superior than other existing algorithms.