RECURSIVE RECONSTRUCTION OF HIGH-RESOLUTION IMAGE FROM NOISY UNDERSAMPLED MULTIFRAMES

被引：369

作者：

KIM, SP ^{[1
]}

BOSE, NK ^{[1
]}

VALENZUELA, HM ^{[1
]}

机构：

[1] UNIV CONCEPCION, DEPT ELECT ENGN, CONCEPCION, CHILE

来源：

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING | 1990年 / 38卷 / 06期

关键词：

D O I：

10.1109/29.56062

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In several applications it is required to reconstruct a high resolution noise-free image from multiple frames of undersampled low resolution noisy images. Using the aliasing relationship between the undersampled frames and the reference image, a weighted recursive least-squares theory based algorithm is developed in the wavenumber domain. This algorithm is efficient because interpolation and noise removal are performed recursively and, in addition, it is highly suitable for implementation via the massively parallel computational architectures currently available. Success in the use of the algorithm is demonstrated through various simulated examples. © 1990 IEEE

引用

页码：1013 / 1027

页数：15

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