Speedy and accurate image super‐resolution via deeply recursive CNN with skip connection and network in network

Speedy and accurate image super‐resolution via deeply recursive CNN with skip connection and network in network

The single image super‐resolution (SISR) methods based on the deep convolutional neural network (CNN) have recently achieved significant improvements in accuracy, advancing the state of the art. However, these deeper models are computationally expensive and require a large number of parameters. Acco...

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Bibliographic Details
Main Authors: Dan Guo, Yanxiong Niu, Pengyan Xie
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:IET Image Processing
Subjects:
accurate image super‐resolution
deeply recursive CNN
skip connection
single image super‐resolution methods
deep convolutional neural network
on‐chip devices
Online Access:https://doi.org/10.1049/iet-ipr.2018.5907

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https://doi.org/10.1049/iet-ipr.2018.5907

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