Image Quality Scale (IQS) for Compressed Images Quality Measurement

被引：0

作者：

Yamsang, Nuntapong ^{[1
]}

Udomhunsakul, Somkait ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Dept Informat Engn, Fac Engn, Bangkok, Thailand

来源：

IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年

关键词：

Image quality assessment; Image Compression; Least Square Method;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an objective measurement to evaluate the quality of gray scale compressed images, Image Quality Scale (IQS), has been proposed. It is defined by 5 measurements, which are Mean Square Error, Edge Measurement, Correlation Measurement, Human Visual System Measurement and Spectrum Measurement. The evaluation result is rated into 5-level grading scale, 1 to 5, which is comparable to Mean Opinion Score (MOS). The objective of this paper is to provide defining method, definition, and reliability of IQS. From the experiments, we demonstrate that the reliability (correlation coefficient) of IQS is higher than PSNR, MSE, Edge Measurement, Cori-elation Measurement, HVS Measurement and Spectrum Measurement. Therefore, the IQS is reliable and can be used to evaluate the quality of compressed images, JPEG and JPEG2000.

引用

页码：789 / 794

页数：6

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