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

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 plac...

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Format:	Thesis
Language:	English
Subjects:	Digital images > Watermarking Field programmable gate arrays Watermark Digital watermark
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/3/Taha%20Basheer.pdf
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spelling	my-unimap-788102023-05-24T07:26:32Z Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation Ruzelita, Ngadiran, Dr. 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. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78810 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/4/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/1/Page%201-24.pdf 06fb68b4d558663f3905e5afbaaeb4cd http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/2/Full%20text.pdf 133ecfee10ad85bab6e6ea7937cdd184 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/3/Taha%20Basheer.pdf 12a5dab5197b0756ff537f60efe8cd4d Universiti Malaysia Perlis (UniMAP) Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Ruzelita, Ngadiran, Dr.
topic	Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark
spellingShingle	Digital images -- Watermarking Field programmable gate arrays Watermark Digital watermark Adaptive image watermarking algorithm based on an efficient perceptual mapping model with FPGA implementation
description	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.
format	Thesis
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
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78810/3/Taha%20Basheer.pdf
_version_	1783730105648939008

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

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