Quality assessment for super-resolution image enhancement

被引：27
|
作者：
Reibman, Amy R.
Bell, Robert M.
Gray, Sharon
机构：
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词：
D O I：
10.1109/ICIP.2006.312895
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A typical image formation model for super-resolution (SR) introduces blurring, aliasing, and added noise. The enhancement itself may also introduce ringing. In this paper, we use subjective tests to assess the visual quality of SR-enhanced images. We then examine how well some existing objective quality metrics can characterize the observed subjective quality. Even full-reference metrics like MSE and SSIM do not always capture visual quality of SR images with and without residual aliasing.
引用
收藏
页码：2017 / 2020
页数：4
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