Adaptive Blind Watermarking Using Psychovisual Image Features

TL;DR

This paper introduces an adaptive watermarking technique that adjusts embedding strength based on image features to enhance robustness without compromising image quality.

Contribution

It proposes a novel adaptive watermarking method that considers image texture and brightness to optimize robustness and imperceptibility.

Findings

Effective reconstruction of payload under various attacks

Improved robustness over recent techniques

Maintains high image quality

Abstract

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.