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Reseach Article

Article:Colour Image Watermarking using Bi-Orthogonal Wavelet Transform

by K. Ramani, E.V. Prasad, V. Lokanadham Naidu, D. Ganesh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 9
Year of Publication: 2010
Authors: K. Ramani, E.V. Prasad, V. Lokanadham Naidu, D. Ganesh
10.5120/1610-2163

K. Ramani, E.V. Prasad, V. Lokanadham Naidu, D. Ganesh . Article:Colour Image Watermarking using Bi-Orthogonal Wavelet Transform. International Journal of Computer Applications. 11, 9 ( December 2010), 25-29. DOI=10.5120/1610-2163

@article{ 10.5120/1610-2163,
author = { K. Ramani, E.V. Prasad, V. Lokanadham Naidu, D. Ganesh },
title = { Article:Colour Image Watermarking using Bi-Orthogonal Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 9 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number9/1610-2163/ },
doi = { 10.5120/1610-2163 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:20.869623+05:30
%A K. Ramani
%A E.V. Prasad
%A V. Lokanadham Naidu
%A D. Ganesh
%T Article:Colour Image Watermarking using Bi-Orthogonal Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 9
%P 25-29
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The proposed method provides copyright protection for digital images. This watermarking algorithm embeds a logo invisibly into the colour biomedical image which is decomposed using bi-orthogonal wavelet transform using two pn-sequences. Bi-orthogonal wavelets have the property of perfect reconstruction and smoothness. The colour cover image is decomposed into R, G, B channels and blue channel is selected for watermarking. The blue channel is decomposed into n-levels using bi-orthogonal wavelet transform and mid-frequency bands LH and HL are selected for embedding. The prosed method is verified for different cover images and with different watermaks. The robustness of this algorithm is tested against various types of image processing operations and geometric attacks such as Salt and pepper noise, Gaussian noise, Poisson noise, Compression, Rotation, Scaling and Cropping.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bi-orthogonal wavelets bio-medical images digital watermarking Peak Signal to Noise ratio Normalized Cross Correlation Geometrical attacks and image processing operations