Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory
Infrared images of power equipment play an important role in power equipment status monitoring and fault identification. Aiming to resolve the problems of low resolution and insufficient clarity in the application of infrared images, we propose a blind super-resolution algorithm based on the theory...
Main Authors: | Yan Wang, Lingjie Wang, Bingcong Liu, Hongshan Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/12/4109 |
Similar Items
-
Blur Kernel Estimation and Non-Blind Super-Resolution for Power Equipment Infrared Images by Compressed Sensing and Adaptive Regularization
by: Hongshan Zhao, et al.
Published: (2021-07-01) -
Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning
by: Xudong Zhang, et al.
Published: (2018-08-01) -
Compressive Super-Resolution Imaging Based on Scrambled Block Hadamard Ensemble
by: Yicheng Sun, et al.
Published: (2016-01-01) -
Single Image Super-Resolution Using Compressive Sensing With a Redundant Dictionary
by: Yicheng Sun, et al.
Published: (2015-01-01) -
Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
by: Yao Zhao, et al.
Published: (2017-01-01)