Comparative analysis of methods of super-resolution

被引：0
|
作者：
Terentiev, EN [1 ]
Terentiev, NE [1 ]
机构：
[1] Moscow MV Lomonosov State Univ, Moscow, Russia
来源：
VISUAL INFORMATION PROCESSING X | 2001年 / 4388卷
关键词：
super-resolution; resolving function; noise factor; the value of achieved resolution;
D O I：
10.1117/12.438258
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The concepts Point Spread Function (PSF) and Modulation Transfer Function (MTF) are base in the linear and local-linear methods of super-resolution. The resolving function, noise factor and value of achieved resolution are introduced into consideration. It is possible to make the definitions RPSF and RMTF for the resolved images. Values of the achieved resolutions will be estimated by the ratio of integral from RMTF to integral from MTF. It is possible to make the definitions NPSF and NMTF for the nonlinear iterative methods and similarly to estimate values of the achieved resolution. The report is devoted to the comparative analysis of the methods of super-resolutions.
引用
收藏
页码：200 / 209
页数：10
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