Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation

Doctor of Philosophy in Computer Engineering

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Bibliographic Details
Main Author:	Taha Basheer, Taha
Other Authors:	Ruzelita, Ngadiran, Dr.
Format:	Thesis
Language:	English
Published:	Universiti Malaysia Perlis (UniMAP) 2018
Subjects:	Digital images > Watermarking Field programmable gate arrays Watermark Digital watermark
Online Access:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78810
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-78810
record_format	dspace
spelling	my.unimap-788102023-05-24T07:26:32Z Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation Taha Basheer, Taha Ruzelita, Ngadiran, Dr. Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark Doctor of Philosophy in Computer Engineering Watermark imperceptibility is a significant factor for keeping watermarked images looking perceptually similar to the original ones. Effective watermark imperceptibility requires the creation of a perceptual model that simulates the human visual system to efficiently hide the watermark bits in places where the human eye cannot observe it. Current perceptual-based watermarking models use complex computations that are difficult to implement in embedded systems or in real time applications. In this thesis, a low-complexity, integer-based Lifting Wavelet Transform (LWT) was utilized to create a perceptual mapping model that is mainly relied on a new texture mapping model called Accumulative Lifting Difference (ALD). The ALD is combined with a simplified edge detection and luminance masking models to obtain a comprehensive perceptual mapping model that has high noise tolerance and it is based on low complexity calculations. The proposed model was 7% faster than the fastest pixel-based compared model, with an enhanced average PSNR gain of 2.75 dB. In comparison to the largest noise tolerance sub-band compared model, the proposed JND model had a PSNR gain of 1.78 dB and an execution speed that was up to 90% faster. The perceptual model is utilized in a proposed image watermarking algorithm to determine the maximum watermark embedding intensity that is not visible to the human eye. The experimental results show that the proposed algorithm produced high quality watermarked images with SSIM value larger than 0.95 for all tested images and it was robust against different geometric and non-geometric attacks. For real time response, the presented watermarking algorithm was designed, implemented and tested on Altera® Cyclone-II FPGA device using VHDL. The parallel structure of the design allowed the system to be executed at a clock speed of 101.02 MHz, which make it suitable for emerging realtime applications. 2018 2023-05-24T07:26:32Z 2023-05-24T07:26:32Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78810 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark
spellingShingle	Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark Taha Basheer, Taha Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
description	Doctor of Philosophy in Computer Engineering
author2	Ruzelita, Ngadiran, Dr.
author_facet	Ruzelita, Ngadiran, Dr. Taha Basheer, Taha
format	Thesis
author	Taha Basheer, Taha
author_sort	Taha Basheer, Taha
title	Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
title_short	Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
title_full	Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
title_fullStr	Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
title_full_unstemmed	Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
title_sort	adaptive image watermarking algorithm based on an efficient perceptual mapping model with fpga implementation
publisher	Universiti Malaysia Perlis (UniMAP)
publishDate	2018
url	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78810
_version_	1772813214001659904

Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation

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