Image reconstruction with improved super-resolution algorithm

被引：2

作者：

Chen, CY ^{[1
]}

Kuo, YC ^{[1
]}

Fuh, CS ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2004年 / 18卷 / 08期

关键词：

image restoration; image enhancement; super resolution; image registration; interpolation; image selection;

D O I：

10.1142/S0218001404003848

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative method, and employs our suggested initial interpolation, robust image registration, automatic image selection and image enhancement post-processing. When the target of reconstruction is a moving object with respect to a stationary camera, high-resolution images can still be reconstructed, whereas previous systems only work well when we move the camera and the displacement of the whole scene is the same.

引用

页码：1513 / 1527

页数：15