Guided filter-based multi-scale super-resolution reconstruction

Guided filter-based multi-scale super-resolution reconstruction

The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network. In this study, the multi-scale super-resolution reconstruction network is used to fuse...

Full description

Bibliographic Details
Main Authors: Xiaomei Feng, Jinjiang Li, Zhen Hua
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
image resolution
image texture
learning (artificial intelligence)
image reconstruction
image filtering
high-resolution image
low-resolution image loss
super-resolution reconstruction effect
guided filter-based multiscale super-resolution reconstruction
learning-based super-resolution reconstruction method
multiscale super-resolution reconstruction network
end-to-end super-resolution reconstruction task
multiscale super-resolution reconstruction method
guided image filtering
multiscale super-resolution network
guide image filter
newly generated image
super-resolution reconstruction scheme
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0065

Internet

https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0065

Similar Items