Image Super-Resolution With Deep Convolutional Neural Network

被引：9

作者：

Ji, Xiancai ^{[1
]}

Lu, Yao ^{[1
]}

Guo, Li ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Informat Engn, Beijing, Peoples R China

来源：

2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016) | 2016年

关键词：

Super-Resolution; Deep Convolutional Neural Network; Stepwise Refinement Method; Back Projection Algorithm;

D O I：

10.1109/DSC.2016.104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

we present a computational model for image super-resolution. Apart from using deep Convolutional Neural Network to map between the low-resolution images and high-resolution images, we adopt stepwise refinement method to improve the reconstruction results and introduce the back projection algorithm to avoid diffusion of error pixels.

引用

页码：626 / 630

页数：5

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