Abstract:
This paper presents distributed embedding approach for the max-plus algebra-based morphological wavelet transform watermarking. Distributed embedding approach uses low- a...Show MoreMetadata
Abstract:
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.
Date of Conference: 23-26 June 2019
Date Added to IEEE Xplore: 20 January 2020
ISBN Information: