An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks

An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks

The goal of single-image super-resolution (SISR) tasks is to generate high-definition images from low-quality inputs, with practical uses spanning healthcare diagnostics, aerial imaging, and surveillance systems. Although cnns have considerably improved image reconstruction quality, existing methods...

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Bibliographic Details
Main Authors: Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
single image super-resolution
omni-dimensional dynamic convolution
residual networks
Charbonnier loss
Online Access:https://www.mdpi.com/2227-7390/13/15/2388
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