Edge Detection and Compressive Sensing-Oriented Digital Image Block Watermarking Algorithm

This paper investigated the problem of the watermark algorithm for digital color image. An digital image watermark embedding and blind extraction algorithm is proposed based on edge detection and Compressive Sensing (CS) theory. Firstly, the carrier image is divided into non-overlapping image blocks. Then, the target image blocks suitable for concealing the watermark information are chosen by combining the edge detection algorithm. Finally, watermarks are embedded into target image blocks by utilizing the Singular Value Decomposition (SVD) and CS theory. The experimental result shows that the proposed digital images watermark algorithm has excellent invisibility and robustness performance in some scenarios.

I. Introduction

Digital image watermarking algorithm is a technology for solving information encryption and copyright protection issue by embedding the information into the digital carrier image [1]–[3]. How to guarantee the invisibility, robustness and security of watermark has received considerable attention in information safety domain in recent years. However, the invisibility of watermarks always contradicted against its robustness. The robustness of watermark will certainly be insufficient if its invisibility is assured seriously. To compromise the robustness and invisibility, it is particularly important to embedding watermark into a carrier image at proper positions.