Image super-resolution survey

被引：282

作者：

van Ouwerkerk, J. D. ^{[1
]}

机构：

[1] Delft Univ Technol, Dept Media & Knowledge Engn, NL-2628 CL Delft, Netherlands

来源：

IMAGE AND VISION COMPUTING | 2006年 / 24卷 / 10期

关键词：

super-resolution; single frame;

D O I：

10.1016/j.imavis.2006.02.026

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The shortcomings in commonly used kernel-based super-resolution drive the study of improved super-resolution algorithms of higher quality. In the past years a wide range of very different approaches has been taken to improve super-resolution. This paper compares approaches to high quality super-resolution by looking at theoretical backgrounds and practical results. Strengths and weaknesses are listed with the intent to spot chances for combination or improvement of techniques, thereby forming a base for future improved super-resolution algorithms. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：1039 / 1052

页数：14

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