Distributed Embedding Approach for Max-Plus Algebra-Based Morphological Wavelet Transform Watermarking

This paper presents distributed embedding approach for the max-plus algebra-based morphological wavelet transform watermarking. Distributed embedding approach uses low- and high-frequency-included signal groups after decomposition process for embedding information bits. During experiments, benchmark images processed by the distributed approach using the MMT watermarking are improved with image quality up to 1.18 and 1.14 on PSNR and SSIM, respectively. Furthermore, this approach obtains better results in comparison with related works.