An efficient psychovisual threshold technique in image compression

Nowadays, psychovisual model plays a critical role in an image compression system. The psychovisual threshold gives visual tolerance to the human visual system by reducing the amount of frequency image signals. The sensitivity of the human eye can be fully explored and exploited in the qualitativ...

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Main Author:	Ferda, Ernawan
Format:	Thesis
Language:	English English
Published:	2014
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/14899/1/AN%20EFFICIENT%20PSYCHOVISUAL%20THRESHOLD%20TECHNIQUE%2024pages.pdf http://eprints.utem.edu.my/id/eprint/14899/2/An%20efficient%20psychovisual%20threshold%20technique%20in%20image%20compression.pdf
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spelling	my-utem-ep.148992022-04-20T10:26:30Z An efficient psychovisual threshold technique in image compression 2014 Ferda, Ernawan T Technology (General) TA Engineering (General). Civil engineering (General) Nowadays, psychovisual model plays a critical role in an image compression system. The psychovisual threshold gives visual tolerance to the human visual system by reducing the amount of frequency image signals. The sensitivity of the human eye can be fully explored and exploited in the qualitative experiment by describing what has been seen or by image quality judgment. However, the result of the psychovisual threshold through qualitative experiment depends on the test condition of the human visual systems and through repetitive viewing sessions. In a modern image compression, there is a need to provide some flexibility to obtain quality levels of the image output based on user preferences. The concept of psychovisual threshold is designed to determine quality levels of the image output. The psychovisual threshold represents an optimal amount of frequency image signals in image compression. This research proposes the psychovisual threshold through a quantitative experiment that can automatically predict an optimal balance between image quality and compression rate in image compression. The contribution of its frequency image signals to the image reconstruction will be the primitive of psychovisual threshold in image compression. It is very challenging to develop a psychovisual threshold from the contribution of the frequency image signals for each frequency order. In this research, the psychovisual threshold prescribes the quantization values and bit allocation for image compression. The psychovisual threshold is the basic primitive prior to generating quantization tables in image compression. The psychovisual threshold allows a developer to design adaptively customized quantization values according to his or her target image quality. The psychovisual threshold is also elementary and primitive for generating a set of bit allocation for frequency image signals. A set of bit allocation based on psychovisual threshold assigns the amount of bits for frequency image signals. A set of bit allocation refers to the psychovisual threshold instead of the quantization process in image compression. This research investigates the basic understanding of the psychovisual threshold in image compression. The experimental results provide significant improvement in the image compression. The psychovisual threshold which is presented as quantization tables, customized quantization tables and as a set of bit allocation gives a significant improvement on both of the quality of the image reconstruction and the average bit length of Huffman code. This research shows that psychovisual threshold is practically the best measure for optimal frequency image signals on image compression. 2014 Thesis http://eprints.utem.edu.my/id/eprint/14899/ http://eprints.utem.edu.my/id/eprint/14899/1/AN%20EFFICIENT%20PSYCHOVISUAL%20THRESHOLD%20TECHNIQUE%2024pages.pdf text en public http://eprints.utem.edu.my/id/eprint/14899/2/An%20efficient%20psychovisual%20threshold%20technique%20in%20image%20compression.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92062 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Abu, Nur Azman
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abu, Nur Azman
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ferda, Ernawan An efficient psychovisual threshold technique in image compression
description	Nowadays, psychovisual model plays a critical role in an image compression system. The psychovisual threshold gives visual tolerance to the human visual system by reducing the amount of frequency image signals. The sensitivity of the human eye can be fully explored and exploited in the qualitative experiment by describing what has been seen or by image quality judgment. However, the result of the psychovisual threshold through qualitative experiment depends on the test condition of the human visual systems and through repetitive viewing sessions. In a modern image compression, there is a need to provide some flexibility to obtain quality levels of the image output based on user preferences. The concept of psychovisual threshold is designed to determine quality levels of the image output. The psychovisual threshold represents an optimal amount of frequency image signals in image compression. This research proposes the psychovisual threshold through a quantitative experiment that can automatically predict an optimal balance between image quality and compression rate in image compression. The contribution of its frequency image signals to the image reconstruction will be the primitive of psychovisual threshold in image compression. It is very challenging to develop a psychovisual threshold from the contribution of the frequency image signals for each frequency order. In this research, the psychovisual threshold prescribes the quantization values and bit allocation for image compression. The psychovisual threshold is the basic primitive prior to generating quantization tables in image compression. The psychovisual threshold allows a developer to design adaptively customized quantization values according to his or her target image quality. The psychovisual threshold is also elementary and primitive for generating a set of bit allocation for frequency image signals. A set of bit allocation based on psychovisual threshold assigns the amount of bits for frequency image signals. A set of bit allocation refers to the psychovisual threshold instead of the quantization process in image compression. This research investigates the basic understanding of the psychovisual threshold in image compression. The experimental results provide significant improvement in the image compression. The psychovisual threshold which is presented as quantization tables, customized quantization tables and as a set of bit allocation gives a significant improvement on both of the quality of the image reconstruction and the average bit length of Huffman code. This research shows that psychovisual threshold is practically the best measure for optimal frequency image signals on image compression.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ferda, Ernawan
author_facet	Ferda, Ernawan
author_sort	Ferda, Ernawan
title	An efficient psychovisual threshold technique in image compression
title_short	An efficient psychovisual threshold technique in image compression
title_full	An efficient psychovisual threshold technique in image compression
title_fullStr	An efficient psychovisual threshold technique in image compression
title_full_unstemmed	An efficient psychovisual threshold technique in image compression
title_sort	efficient psychovisual threshold technique in image compression
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2014
url	http://eprints.utem.edu.my/id/eprint/14899/1/AN%20EFFICIENT%20PSYCHOVISUAL%20THRESHOLD%20TECHNIQUE%2024pages.pdf http://eprints.utem.edu.my/id/eprint/14899/2/An%20efficient%20psychovisual%20threshold%20technique%20in%20image%20compression.pdf
_version_	1747833847217651712

An efficient psychovisual threshold technique in image compression

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