Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation

Digital image watermark is an imperceptible, robust, secure message embedded into the image, which identify one or more owner, distributor, or recipient of the image, origin or status of the data or transaction dates. Watermarking is also used for data hiding, content labeling, broadcast monitori...

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Bibliographic Details
Main Author: Salem Hussin, Saleh Hussin
Format: Thesis
Language:English
English
Published: 2005
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/5981/
http://psasir.upm.edu.my/id/eprint/5981/1/FK_2005_7.pdf
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author Salem Hussin, Saleh Hussin
author_facet Salem Hussin, Saleh Hussin
author_sort Salem Hussin, Saleh Hussin
building UPM Institutional Repository
collection Online Access
description Digital image watermark is an imperceptible, robust, secure message embedded into the image, which identify one or more owner, distributor, or recipient of the image, origin or status of the data or transaction dates. Watermarking is also used for data hiding, content labeling, broadcast monitoring, and integrity control applications. Digital watermarking resembles communication systems. Watermark is the sent message. Image is the watermark channel or carrier. Image pixels and possible attacks on marked image constitute the noise. Only the authorized parties' extracts the watermark message from the marked image by using detector. Digital watermarking has three major requirements. Watermark should be robust against noise and attacks, imperceptible and has the required capacity. These three requirements conflict with each other. To illustrate, increasing the watermark strength makes the system more robust but unfortunately decreases the perceptual quality. As a second example, increasing the capacity of the watermark decreases the robustness. In this thesis, the goal was to study digital image watermarking and develop watermarking algorithm that can achieve high imperceptibility, maximum capacity, and high robustness against image manipulation at the same time. This algorithm is based on the combination of Fibonacci permutation and discrete wavelet transforms (DWT). A binary image is used as the watermark and inserted into a mid-frequency wavelet subband of the permuted image. The watermarked image is reproduced by taking the inverse DWT and the inverse permutation. In extraction process the watermark is extracted from the watermarked image directly without using the original image. The experimental results have shown that the proposed watermark is invisible to human eyes and very robust against image manipulation, such as JPEG compression, median filtering, wiener filtering, and noises.
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institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T07:24:21Z
publishDate 2005
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spelling upm-59812023-01-03T06:56:33Z http://psasir.upm.edu.my/id/eprint/5981/ Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation Salem Hussin, Saleh Hussin Digital image watermark is an imperceptible, robust, secure message embedded into the image, which identify one or more owner, distributor, or recipient of the image, origin or status of the data or transaction dates. Watermarking is also used for data hiding, content labeling, broadcast monitoring, and integrity control applications. Digital watermarking resembles communication systems. Watermark is the sent message. Image is the watermark channel or carrier. Image pixels and possible attacks on marked image constitute the noise. Only the authorized parties' extracts the watermark message from the marked image by using detector. Digital watermarking has three major requirements. Watermark should be robust against noise and attacks, imperceptible and has the required capacity. These three requirements conflict with each other. To illustrate, increasing the watermark strength makes the system more robust but unfortunately decreases the perceptual quality. As a second example, increasing the capacity of the watermark decreases the robustness. In this thesis, the goal was to study digital image watermarking and develop watermarking algorithm that can achieve high imperceptibility, maximum capacity, and high robustness against image manipulation at the same time. This algorithm is based on the combination of Fibonacci permutation and discrete wavelet transforms (DWT). A binary image is used as the watermark and inserted into a mid-frequency wavelet subband of the permuted image. The watermarked image is reproduced by taking the inverse DWT and the inverse permutation. In extraction process the watermark is extracted from the watermarked image directly without using the original image. The experimental results have shown that the proposed watermark is invisible to human eyes and very robust against image manipulation, such as JPEG compression, median filtering, wiener filtering, and noises. 2005-10 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/5981/1/FK_2005_7.pdf Salem Hussin, Saleh Hussin (2005) Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation. Masters thesis, Universiti Putra Malaysia. Watermarking Wavelet English
spellingShingle Watermarking
Wavelet
Salem Hussin, Saleh Hussin
Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title_full Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title_fullStr Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title_full_unstemmed Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title_short Improved Watermarking Algorithm Based on Discrete Wavelet Transform and Fibonacci Permutation
title_sort improved watermarking algorithm based on discrete wavelet transform and fibonacci permutation
topic Watermarking
Wavelet
url http://psasir.upm.edu.my/id/eprint/5981/
http://psasir.upm.edu.my/id/eprint/5981/1/FK_2005_7.pdf