Cover Image

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

Doctor of Philosophy in Computer Engineering

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.214268

Similar Items