Intelligent Watermarking Techniques

Part III: Advanced Watermarking Techniques

Chapter List

Chapter 12: Genetic Watermarking on Transform Domain
Chapter 13: Genetic Watermarking on Spatial Domain
Chapter 14: Robust Image Watermarking Systems Using Neural Networks
Chapter 15: A Perceptually Tuned Watermarking Scheme for Digital Images Using Support Vector Machines
Chapter 16: Recent Development of Visual Cryptography
Chapter 17: Watermark Embedding System Based on Visual Cryptography
Chapter 18: Spread Spectrum Video Data Hiding, Interleaving and Synchronization

Hsiang-Cheh Huang, Jeng-Shyang Pan, and Feng-Hsing Wang

Overview

An innovative watermarking scheme based on genetic algorithms (GA) in the transform domain is proposed. It is robust against watermarking attacks, which are commonly employed in literature. In addition, the watermarked image quality is also considered. In this chapter, we employ GA for optimizing both the fundamentally conflicting requirements.

Watermarking with GA is easy for implementation. We examine the effectiveness of our scheme by checking the cost function in GA, which includes both factors related to robustness and imperceptibility. Simulation results also show both the robustness under attacks, the effectiveness for progressive image transmission, and the improvement in watermarked image quality with GA.

1 Introduction

With the widespread use of Internet and the development in computer industry, the digital media, including images, audio, and video, suffer from infringing upon the copyrights with the digital nature of unlimited copying, easy modification and quick transfer over the Internet. The readers are suggested to refer to Chapter 1 of this book for the fundamentals in digital watermarking. In this chapter, we concentrate our research topic on image watermarking for copyright...

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