Paper Info
Title
Robust Block-based Image Watermarking in Curvelet Transform
Abstract
In this paper, a robust watermarking scheme operating in curvelet domain is proposed. Curvelet transform directly take the edge as the basic representation element; it provides optimally sparse representations of objects along a general curve with bounded curvature. The image is partitioned into small blocks, Unequally Spaced Fast Fourier Transforms (USFFT) is employed to decompose each block into curvelet domain. We embedded the watermark into the selected blocks, scale and curvelet coefficients based on the edge map of cover image. As usual, the watermarks are blindly detected using a correlation detector. Experimental results demonstrate that the embedded watermark survives severe image attacks and shows advantages over watermark algorithm in the wavelet domain. Both the robustness and the transparency can be well proved by the proposed watermarking algorithm.
Year
DOI
Venue
2007
10.1109/IIH-MSP.2007.270
IIH-MSP
Keywords
Field
DocType
cover image,watermark algorithm,embedded watermark,edge map,curvelet transform,curvelet coefficient,curvelet domain,robust block-based image,robust watermarking scheme operating,wavelet domain,severe image attack,proposed watermarking algorithm,fast fourier transform,fast fourier transforms,sparse representation
Computer vision,Harmonic wavelet transform,Digital watermarking,Pattern recognition,Computer science,Watermark,Robustness (computer science),Fast Fourier transform,Artificial intelligence,Detector,Curvelet,Wavelet
Conference
ISBN
Citations 
PageRank 
0-7695-2994-1
1
0.36
References 
Authors
2
2
Name
Order
Citations
PageRank
Peining Tao1161.77
Ahmet M. Eskicioglu239629.25