A new method of images super-resolution restoration by neural networks

被引：0

作者：

Zhang, LM ^{[1
]}

Pan, FZ ^{[1
]}

机构：

[1] Fudan Univ, Dept Elect Engn, Shanghai 200433, Peoples R China

来源：

ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Super-resolution restoration from the low-resolution image is an ill-posed problem if there's no assumption. This paper proposes a new super-resolution scheme based on combining neural network with classical interpolation algorithm. It is shown that our method has better performance than existing interpolation algorithms on theory and also better simulation results than conventional and other neural network methods.

引用

页码：2414 / 2418

页数：5

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