An Efficient Image Compression Technique using Tchebichef Bit Allocation

The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compresse...

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Main Authors:	Ernawan, Ferda, M. Nomani, Kabir, Kamal Z., Zamli
Format:	Article
Language:	English English
Published:	Elsevier 2017
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf

id	ump-18617
recordtype	eprints
spelling	ump-186172018-09-25T08:37:32Z http://umpir.ump.edu.my/id/eprint/18617/ An Efficient Image Compression Technique using Tchebichef Bit Allocation Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli QA75 Electronic computers. Computer science QA76 Computer software The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compressed image from an original image in frequency order. This paper proposes an image compression technique using Tchebichef psychovisual threshold for generating an optimal bits-budget of image signals. The bits-budget is designed to replace the main role of quantization tables in image compression. The experimental results show that the proposed bits-budget technique can improve the visual quality of image output by 42 of JPEG compression. The visual image quality of Thcebichef bits allocation produces less artifact effect and distortion of the image pixels. A set of bits-budgets gives excellent improvement in the image quality at a low average bit length of Huffman code than the image coding using quantization tables. Elsevier 2017-09-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf Ernawan, Ferda and M. Nomani, Kabir and Kamal Z., Zamli (2017) An Efficient Image Compression Technique using Tchebichef Bit Allocation. Optik - International Journal for Light and Electron Optics, 148. pp. 106-119. ISSN 0030-4026 https://doi.org/10.1016/j.ijleo.2017.08.007 doi: 10.1016/j.ijleo.2017.08.007
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli An Efficient Image Compression Technique using Tchebichef Bit Allocation
description	The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compressed image from an original image in frequency order. This paper proposes an image compression technique using Tchebichef psychovisual threshold for generating an optimal bits-budget of image signals. The bits-budget is designed to replace the main role of quantization tables in image compression. The experimental results show that the proposed bits-budget technique can improve the visual quality of image output by 42 of JPEG compression. The visual image quality of Thcebichef bits allocation produces less artifact effect and distortion of the image pixels. A set of bits-budgets gives excellent improvement in the image quality at a low average bit length of Huffman code than the image coding using quantization tables.
format	Article
author	Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli
author_facet	Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli
author_sort	Ernawan, Ferda
title	An Efficient Image Compression Technique using Tchebichef Bit Allocation
title_short	An Efficient Image Compression Technique using Tchebichef Bit Allocation
title_full	An Efficient Image Compression Technique using Tchebichef Bit Allocation
title_fullStr	An Efficient Image Compression Technique using Tchebichef Bit Allocation
title_full_unstemmed	An Efficient Image Compression Technique using Tchebichef Bit Allocation
title_sort	efficient image compression technique using tchebichef bit allocation
publisher	Elsevier
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf
first_indexed	2023-09-18T22:26:28Z
last_indexed	2023-09-18T22:26:28Z
_version_	1777416000108494848

An Efficient Image Compression Technique using Tchebichef Bit Allocation

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