Single image resolution enhancement by efficient dilated densely connected residual network

作者:

Highlights:

• We introduce a progressive dilated convolution network for image super-resolution.

• Receptive field performance in super-resolution tasks.

• Efficient feature extraction and feature reuse.

摘要

•We introduce a progressive dilated convolution network for image super-resolution.•Receptive field performance in super-resolution tasks.•Efficient feature extraction and feature reuse.

论文关键词:Image super-resolution,Dilated convolution,Dense network,Optimization

论文评审过程:Received 30 November 2018, Revised 1 June 2019, Accepted 13 August 2019, Available online 17 August 2019, Version of Record 4 September 2019.

论文官网地址:https://doi.org/10.1016/j.image.2019.08.008