Maximizing Strength of Digital Watermarks using Fuzzy Logic

TL;DR

This paper introduces a fuzzy logic-based adaptive digital watermarking method in the DCT domain that improves imperceptibility and robustness by adjusting embedding strength based on image block features.

Contribution

It presents a novel scheme combining fuzzy inference and the human visual system for adaptive watermark embedding in the DCT domain.

Findings

High imperceptibility demonstrated

Robust against common image processing attacks

Adaptive embedding improves watermark quality

Abstract

In this paper, we propose a novel digital watermarking scheme in DCT domain based fuzzy inference system and the human visual system to adapt the embedding strength of different blocks. Firstly, the original image is divided into some 8 \times 8 blocks, and then fuzzy inference system according to different textural features and luminance of each block decide adaptively different embedding strengths. The watermark detection adopts correlation technology. Experimental results show that the proposed scheme has good imperceptibility and high robustness to common image processing operators.