2 research outputs found
Adaptive Blind Watermarking Using Psychovisual Image Features
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.Comment: 5 pages, 3 figure