Paper Title:
Wavelet Based Multi-Bit Fingerprinting Against Geometric Distortions
  Abstract

This paper presents a new image fingerprinting scheme which embeds a multi-bits fingerprinting code and is robust against the geometric attack such as rotation, scaling and translation. We construct a 64 bits fingerprinting code and embed into wavelet subband of 512x512 images repeatedly. In order to restore an image from geometric distortion a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. Results of experimental studies show that our method is robust against geometric distortions and JPEG compression.

  Info
Periodical
Key Engineering Materials (Volumes 321-323)
Edited by
Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi
Pages
1301-1305
DOI
10.4028/www.scientific.net/KEM.321-323.1301
Citation
W. G. Kim, Y. S. Seo, H. W. Jung, S. H. Lee, W. G. Oh, "Wavelet Based Multi-Bit Fingerprinting Against Geometric Distortions", Key Engineering Materials, Vols. 321-323, pp. 1301-1305, 2006
Online since
October 2006
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Price
$32.00
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