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An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold

One of the main part of image compression is a quantization process which give a significant effect to the compression performance. However, image compression based on the quantization produces blocking effect or artifact image. This research proposes a novel bit allocation strategy which assigning...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Ernawan, Ferda, Zuriani, Mustaffa, Bayuaji, Luhur
التنسيق: مقال
اللغة:English
منشور في: International Information Institute Ltd. 2016
الموضوعات:
Q Science (General)
T Technology (General)
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/13071/1/visiogame_manuscript.pdf
http://umpir.ump.edu.my/id/eprint/13071/
http://www.information-iii.org/abs_e2.html#No9(B)-2016
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id my.ump.umpir.13071
record_format eprints
spelling my.ump.umpir.130712018-02-26T01:56:16Z http://umpir.ump.edu.my/id/eprint/13071/ An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold Ernawan, Ferda Zuriani, Mustaffa Bayuaji, Luhur Q Science (General) T Technology (General) One of the main part of image compression is a quantization process which give a significant effect to the compression performance. However, image compression based on the quantization produces blocking effect or artifact image. This research proposes a novel bit allocation strategy which assigning an optimal budget of bits in image compression. The bit allocation is proposed to replace the role of the quantization process in image compression. The principle of psychovisual threshold is adopted to develop bit allocation strategy in the image compression. This quantitative research measures the optimal bit of image signals and manages the image quality level. The experimental results show the efficiency of the proposed bit allocation strategy, and that the proposed bit allocation can achieve the almost same compression rate performance while can significantly produces high quality image texture. When compared to JPEG compression, the image compression using bit allocation achieves bit rate savings of up to 4%. The quality image output provides minimum errors of artifact image. The quality image reconstruction improvement is up to 14% and the error reconstruction is reduced by up to 37%. Key Words: Bit allocation, Quantization table, Psychovisual threshold, Image compression International Information Institute Ltd. 2016-04-23 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13071/1/visiogame_manuscript.pdf Ernawan, Ferda and Zuriani, Mustaffa and Bayuaji, Luhur (2016) An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold. Information (Japan), 19 (9B). pp. 4177-4182. ISSN 1343-4500. (Published) http://www.information-iii.org/abs_e2.html#No9(B)-2016
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Ernawan, Ferda
Zuriani, Mustaffa
Bayuaji, Luhur
An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
description One of the main part of image compression is a quantization process which give a significant effect to the compression performance. However, image compression based on the quantization produces blocking effect or artifact image. This research proposes a novel bit allocation strategy which assigning an optimal budget of bits in image compression. The bit allocation is proposed to replace the role of the quantization process in image compression. The principle of psychovisual threshold is adopted to develop bit allocation strategy in the image compression. This quantitative research measures the optimal bit of image signals and manages the image quality level. The experimental results show the efficiency of the proposed bit allocation strategy, and that the proposed bit allocation can achieve the almost same compression rate performance while can significantly produces high quality image texture. When compared to JPEG compression, the image compression using bit allocation achieves bit rate savings of up to 4%. The quality image output provides minimum errors of artifact image. The quality image reconstruction improvement is up to 14% and the error reconstruction is reduced by up to 37%. Key Words: Bit allocation, Quantization table, Psychovisual threshold, Image compression
format Article
author Ernawan, Ferda
Zuriani, Mustaffa
Bayuaji, Luhur
author_facet Ernawan, Ferda
Zuriani, Mustaffa
Bayuaji, Luhur
author_sort Ernawan, Ferda
title An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
title_short An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
title_full An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
title_fullStr An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
title_full_unstemmed An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold
title_sort efficient image compression using bit allocation based on psychovisual threshold
publisher International Information Institute Ltd.
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/13071/1/visiogame_manuscript.pdf
http://umpir.ump.edu.my/id/eprint/13071/
http://www.information-iii.org/abs_e2.html#No9(B)-2016
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score 13.251813

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