An adaptive large DCT psychovisual threshold in image compression

Nowadays, multimedia communication requires high bandwidth and data transfer rate to transfer multimedia data. Image compression is one of alternative solutions to reduce the storage and transmission. An adaptive image compression technique has been widely used in many applications, it can be done b...

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Main Authors:	Ernawan, Ferda, M. Nomani, Kabir, Zuriani, Mustaffa, Ramalingam, Mritha
Format:	Conference or Workshop Item
Language:	English English
Published:	2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/25672/ http://umpir.ump.edu.my/id/eprint/25672/1/20.%20An%20improved%20image%20compression%20technique%20using%20large.pdf http://umpir.ump.edu.my/id/eprint/25672/2/20.1%20An%20improved%20image%20compression%20technique%20using%20large.pdf

id	ump-25672
recordtype	eprints
spelling	ump-256722019-12-13T08:30:46Z http://umpir.ump.edu.my/id/eprint/25672/ An adaptive large DCT psychovisual threshold in image compression Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa Ramalingam, Mritha QA76 Computer software Nowadays, multimedia communication requires high bandwidth and data transfer rate to transfer multimedia data. Image compression is one of alternative solutions to reduce the storage and transmission. An adaptive image compression technique has been widely used in many applications, it can be done by customizing quantization tables based on user preference. A scaling factor is one of scaling techniques for customizing the quantization values uniformly. Consequently, a scaling quantization table uniformly can significantly effect to the error reconstruction and compression rate. This paper proposes an adaptive large psychovisual threshold for customizing large quantization tables in image compression. The proposed adaptive large psychovisual threshold is designed based on a smooth curve of the absolute reconstruction error by incrementing the DCT coefficients one at a time for each frequency order. The experimental results show that the performance of adaptive large DCT psychovisual threshold achieves high image quality and minimum average bit length of Huffman code. The visual image of the proposed method also clearly shows that it does not appear boundary effect when the reconstructed image was zoomed in to 400%. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25672/1/20.%20An%20improved%20image%20compression%20technique%20using%20large.pdf pdf en http://umpir.ump.edu.my/id/eprint/25672/2/20.1%20An%20improved%20image%20compression%20technique%20using%20large.pdf Ernawan, Ferda and M. Nomani, Kabir and Zuriani, Mustaffa and Ramalingam, Mritha (2019) An adaptive large DCT psychovisual threshold in image compression. In: IEEE International Conference on Knowledge Innovation and Invention 2019 (IEEE ICKII 2019), 13 - 16 Julai 2019 , Seoul, South Korea. pp. 1-5.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa Ramalingam, Mritha An adaptive large DCT psychovisual threshold in image compression
description	Nowadays, multimedia communication requires high bandwidth and data transfer rate to transfer multimedia data. Image compression is one of alternative solutions to reduce the storage and transmission. An adaptive image compression technique has been widely used in many applications, it can be done by customizing quantization tables based on user preference. A scaling factor is one of scaling techniques for customizing the quantization values uniformly. Consequently, a scaling quantization table uniformly can significantly effect to the error reconstruction and compression rate. This paper proposes an adaptive large psychovisual threshold for customizing large quantization tables in image compression. The proposed adaptive large psychovisual threshold is designed based on a smooth curve of the absolute reconstruction error by incrementing the DCT coefficients one at a time for each frequency order. The experimental results show that the performance of adaptive large DCT psychovisual threshold achieves high image quality and minimum average bit length of Huffman code. The visual image of the proposed method also clearly shows that it does not appear boundary effect when the reconstructed image was zoomed in to 400%.
format	Conference or Workshop Item
author	Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa Ramalingam, Mritha
author_facet	Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa Ramalingam, Mritha
author_sort	Ernawan, Ferda
title	An adaptive large DCT psychovisual threshold in image compression
title_short	An adaptive large DCT psychovisual threshold in image compression
title_full	An adaptive large DCT psychovisual threshold in image compression
title_fullStr	An adaptive large DCT psychovisual threshold in image compression
title_full_unstemmed	An adaptive large DCT psychovisual threshold in image compression
title_sort	adaptive large dct psychovisual threshold in image compression
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25672/ http://umpir.ump.edu.my/id/eprint/25672/1/20.%20An%20improved%20image%20compression%20technique%20using%20large.pdf http://umpir.ump.edu.my/id/eprint/25672/2/20.1%20An%20improved%20image%20compression%20technique%20using%20large.pdf
first_indexed	2023-09-18T22:39:33Z
last_indexed	2023-09-18T22:39:33Z
_version_	1777416823164108800

An adaptive large DCT psychovisual threshold in image compression

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