Image Quality Assessment Based On Properties of HVS and Principle of Image Structure

被引：0

作者：

Mahamud, Siti Tasnim ^{[1
]}

Rahmatullah, Bahbibi ^{[1
]}

机构：

[1] Sultan Idris Educ Univ, Fac Art Comp & Creat Ind, Perak, Malaysia

来源：

2015 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ) | 2015年

关键词：

image quality assessment; full-reference image quality assessment; human visual system; principle of image structure;

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：

There has been an increasing push to develop objective quality evaluation that should imitate the evaluation of human visual system in predicting image quality. There are large scales of developed full-reference image quality assessment. This paper classified some typical full-reference quality metric into two different methods that are based on properties of human visual system (HVS) and principle of image structure. Both of these methods were able to accurately measure depending on the type of distortion imposed. In this paper, we compared the capabilities and behavior of the selected quality metrics in estimating the quality of image.

引用

页数：6

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