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