Pyramidal dense attention networks for single image super‐resolution
Abstract Recently, residual and dense networks have effectively promoted the development of image super‐resolution (SR). However, most dense networks based SR methods do not make full use of dense feature information. To solve this problem, a pyramidal dense attention network for single image super‐...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-10-01
|
Series: | IET Image Processing |
Online Access: | https://doi.org/10.1049/ipr2.12557 |