An Adaptive JPEG Image Compression Using Psychovisual Model

Ferda, Ernawan and Nor Azman, Abu and Nanna Suryana, Herman (2014) An Adaptive JPEG Image Compression Using Psychovisual Model. Advanced Science Letters, 20. pp. 26-31. ISSN 1936-6612

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Abstract

JPEG baseline coding is a popular basic image compression technique. The JPEG-3 image compression is an extension of standard JPEG image compression which uses a quality factor to scale quantization table. In order to achieve high compression rate, the JPEG-3 image compression uses lower quality factor. The lower bit rates of image compression using scaling factor will degrade the visual quality on the images being compressed. This paper proposes a high compression scheme based on psychovisual threshold as an adaptive image compression. The comparison between JPEG-3 image compression using the typical quality factor and an adaptive psychovisual threshold has been done. The experimental results of an adaptive quantization tables based on psychovisual threshold show an improvement on the quality image reconstruction at the lower average bit length of Huffman code.

Item Type:	Article
Uncontrolled Keywords:	Image Compression, Psychovisual Threshold, JPEG Quantization Tables.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	08 Aug 2016 07:49
Last Modified:	05 Sep 2021 15:28
URI:	http://eprints.utem.edu.my/id/eprint/16696
Statistic Details:	View Download Statistic

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