Adaptive Blind Watermarking Using Psychovisual Image Features
This addresses copyright protection for images shared online, but it is incremental as it builds on existing watermarking approaches.
The paper tackles the trade-off between robustness and imperceptibility in image watermarking by proposing an adaptive method that adjusts embedding strength based on texture and brightness, showing effective payload reconstruction under attacks and good performance compared to recent techniques.
With the growth of editing and sharing images through the internet, the importance of protecting the images' authorship has increased. Robust watermarking is a known approach to maintaining copyright protection. Robustness and imperceptibility are two factors that are tried to be maximized through watermarking. Usually, there is a trade-off between these two parameters. Increasing the robustness would lessen the imperceptibility of the watermarking. This paper proposes an adaptive method that determines the strength of the watermark embedding in different parts of the cover image regarding its texture and brightness. Adaptive embedding increases the robustness while preserving the quality of the watermarked image. Experimental results also show that the proposed method can effectively reconstruct the embedded payload in different kinds of common watermarking attacks. Our proposed method has shown good performance compared to a recent technique.