Performance comparison of various watermarking techniques A watermarking scheme using DWT and discrete time chaotic transmission is proposed in to provide robustness and security to the watermark image A modified Henon map encrypts the watermark image and then inserted into discrete time chaotic system
From classical to soft computing based watermarking . . . This section discusses the performance of existing works to get a deeper understanding The performance of spatial domain, frequency domain, and meta-heuristic-based watermarking methods are evaluated in terms of PSNR and NC, over the grayscale, color images, and video datasets as shown in Figs 6, 7, and 8 respectively The PSNR value measures
Survey on watermarking methods in the artificial intelligence . . . In this paper, we plot a comprehensive overview of digital image watermarking in machine learning-based environments Further, we illuminate new applications, different forms of watermarking and performance parameters We provide a summary of various AI and beyond state-of-the-art watermarking techniques
A review of digital watermarking techniques: Current trends . . . A key watermark is combined with this watermark to generate a meaningful watermark The technique can detect the tamperness in the document images in any regions Performance of the techniques is found to be superior than the existing techniques
Digital Watermarking: From Traditional Techniques to Machine . . . In the transform domain, watermark embedding involves converting the host image into the frequency domain, modifying its coefficients according to predefined rules, and subsequently reconstructing the watermarked image through an inverse transform
Performance comparison of various watermarking techniques Here authors have proposed a secure watermarking for multimedia contents which shows more robustness than spatial domain techniques There are various characteristics of watermarking which are explained in Section 1 2 Most of the researchers have worked to find a stability between robustness and imperceptibility
A fidelity evaluation model for watermarked vector maps based . . . Wei et al developed a quality evaluation model for watermarked vector map, assessing both the robustness of watermarking algorithms and the quality of the watermarked data through an analysis of vector map quality elements and attack methods