Toward a perceptual image quality assessment of color quantized images

被引：0
|
作者：
Frackiewicz, Mariusz [1 ]
Palus, Henryk [1 ]
机构：
[1] Silesian Tech Univ, Ul Akad 16, PL-44100 Gliwice, Poland
来源：
TENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2017) | 2018年 / 10696卷
关键词：
color quantization; image quality assessment; image database; MOS; statistical analysis; SOFTWARE TOOL; ALGORITHMS; KEEL;
D O I：
10.1117/12.2309461
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Color image quantization is an important operation in the field of color image processing. In this paper, we consider new perceptual image quality metrics for assessment of quantized images. These types of metrics, e.g. DSCSI, MDSIs, MDSIm and HPSI achieve the highest correlation coefficients with MOS during tests on the six publicly available image databases. Research was limited to images distorted by two types of compression: JPG and JPG2K. Statistical analysis of correlation coefficients based on the Friedman test and post-hoc procedures showed that the differences between the four new perceptual metrics are not statistically significant.
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页数：7
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