Unpaired image super-resolution using a lightweight invertible neural network

Huan Liu; Mingwen Shao; Yuanjian Qiao; Yecong Wan; Deyu Meng

doi:10.1016/j.patcog.2023.109822

ScienceGate Book Chapters

JOURNAL ARTICLE

Unpaired image super-resolution using a lightweight invertible neural network

Huan Liu Mingwen Shao Yuanjian Qiao Yecong Wan Deyu Meng

Year: 2023 Journal: Pattern Recognition Vol: 144 Pages: 109822-109822 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2023.109822

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Noise (video) Artificial neural network Artificial intelligence Image (mathematics) Invertible matrix Pattern recognition (psychology) Computer vision Mathematics

Metrics

Cited By

4.91

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unpaired image super-resolution using a lightweight invertible neural network

Metrics

Citation History

Topics

Related Documents

Lightweight image super-resolution network using 3D convolutional neural networks

Lightweight Recurrent Neural Network for Image Super-Resolution

Lightweight image super-resolution network using involution

Single‐image super‐resolution using lightweight transformer‐convolutional neural network hybrid model

Unpaired Image Super-Resolution Using Pseudo-Supervision