# Adaptive Blind Watermarking Using Psychovisual Image Features

arXiv: https://arxiv.org/abs/2212.12864 · HTML: https://mlsanity.com/paper/2212.12864/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 18 references that are in the map.
- First posted on arXiv 25 Dec 2022.

## Builds on (most cited first, 3 of 3)

- [A survey of deep neural network watermarking techniques](https://mlsanity.com/paper/2103.09274/) (2021)
- [Adaptive Blind Image Watermarking Using Fuzzy Inference System Based on Human Visual Perception](https://mlsanity.com/paper/1709.06536/) (2017)
- [Hierarchical Watermarking Framework Based on Analysis of Local Complexity Variations](https://mlsanity.com/paper/1709.03020/) (2017)

## Abstract (arXiv)

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.