Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression

Image compression leads to minimize the storage-requirement of an image by reducing the size of the image. This paper presents a bit allocation strategy based on psychovisual threshold in image compression considering a similar idea of audio coding. In the audio coding, a dynamic bit allocation to e...

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Main Authors:	Ernawan, Ferda, M. Nomani, Kabir, Jasni, Mohamad Zain
Format:	Article
Language:	English
Published:	Springer US 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/1/10.1007%252Fs11042-017-4999-9.pdf

id	ump-18294
recordtype	eprints
spelling	ump-182942018-09-25T08:38:00Z http://umpir.ump.edu.my/id/eprint/18294/ Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression Ernawan, Ferda M. Nomani, Kabir Jasni, Mohamad Zain QA75 Electronic computers. Computer science Image compression leads to minimize the storage-requirement of an image by reducing the size of the image. This paper presents a bit allocation strategy based on psychovisual threshold in image compression considering a similar idea of audio coding. In the audio coding, a dynamic bit allocation to each signal is related to the concept of variable block coding and bit allocation is performed on either a short block or long block of sample signals. Similarity, in our technique, more bits are assigned to a local block with visually-significant low frequency order, and fewer, with visually-insignificant high frequency order. This paper presents a bit allocation strategy based on psychovisual threshold in image compression. A psychovisual threshold is developed by minimizing the visual impact on the image quality degradation in image frequency coding. This paper investigates the error generated by the discrete cosine transform and sets the maximum acceptable error as a psychovisual threshold. The average reconstruction error per pixel on frequency order is utilized to prescribe a set of bit allocations which provide a significant improvement on the quality of image reconstruction at relatively low bit rates. The experimental results show that our dynamic bit-allocation technique in image compression manages to overcome artifact images in the image output. The proposed bit allocation strategy improves the quality of image reconstruction by about 20% compared to JPEG compression. This bit allocation strategy is designed to replace the traditional role of the quantization process in image compression. Springer US 2017-07-26 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18294/1/10.1007%252Fs11042-017-4999-9.pdf Ernawan, Ferda and M. Nomani, Kabir and Jasni, Mohamad Zain (2017) Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression. Multimedia Tools and Applications. pp. 1-24. ISSN 1380-7501(print); 1573-7721(online) https://doi.org/10.1007/s11042-017-4999-9 DOI 10.1007/s11042-017-4999-9
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ernawan, Ferda M. Nomani, Kabir Jasni, Mohamad Zain Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
description	Image compression leads to minimize the storage-requirement of an image by reducing the size of the image. This paper presents a bit allocation strategy based on psychovisual threshold in image compression considering a similar idea of audio coding. In the audio coding, a dynamic bit allocation to each signal is related to the concept of variable block coding and bit allocation is performed on either a short block or long block of sample signals. Similarity, in our technique, more bits are assigned to a local block with visually-significant low frequency order, and fewer, with visually-insignificant high frequency order. This paper presents a bit allocation strategy based on psychovisual threshold in image compression. A psychovisual threshold is developed by minimizing the visual impact on the image quality degradation in image frequency coding. This paper investigates the error generated by the discrete cosine transform and sets the maximum acceptable error as a psychovisual threshold. The average reconstruction error per pixel on frequency order is utilized to prescribe a set of bit allocations which provide a significant improvement on the quality of image reconstruction at relatively low bit rates. The experimental results show that our dynamic bit-allocation technique in image compression manages to overcome artifact images in the image output. The proposed bit allocation strategy improves the quality of image reconstruction by about 20% compared to JPEG compression. This bit allocation strategy is designed to replace the traditional role of the quantization process in image compression.
format	Article
author	Ernawan, Ferda M. Nomani, Kabir Jasni, Mohamad Zain
author_facet	Ernawan, Ferda M. Nomani, Kabir Jasni, Mohamad Zain
author_sort	Ernawan, Ferda
title	Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
title_short	Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
title_full	Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
title_fullStr	Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
title_full_unstemmed	Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression
title_sort	bit allocation strategy based on psychovisual threshold in image compression
publisher	Springer US
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/ http://umpir.ump.edu.my/id/eprint/18294/1/10.1007%252Fs11042-017-4999-9.pdf
first_indexed	2023-09-18T22:25:50Z
last_indexed	2023-09-18T22:25:50Z
_version_	1777415959974248448

Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression

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