High-efficiency infrared image super-resolution algorithm based on a cascaded deep network

Linfei Zhang; Yan Zou; Bowen Wang; Yan Hu; Yuzhen Zhang

doi:10.1117/12.2587499

15 January 2021 High-efficiency infrared image super-resolution algorithm based on a cascaded deep network

Linfei Zhang, Yan Zou, Bowen Wang, Yan Hu, Yuzhen Zhang

Proceedings Volume 11761, Fourth International Conference on Photonics and Optical Engineering; 117611M (2021) https://doi.org/10.1117/12.2587499
Event: Fourth International Conference on Photonics and Optical Engineering, 2020, Xi'an, China

Abstract

Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution versions. Recently, powerful deep learning algorithms have been applied to SISR and have achieved state-of-the-art performance. In this paper, a high-efficiency infrared image super-resolution algorithm based on a cascaded deep network is proposed. In this method, the low-resolution infrared image is directly processed without the preprocessing of bicubic interpolation up-sampling that can reduce the complexity of the network and the amount of computation. The network structure consists of two layers of the network. The sub-pixel convolution in each layer can enlarge the image size by twice and make the input image size to reach the final high-resolution image size. Besides, we utilize multi-scale feature extraction blocks to extract features from the same feature image by using multiple convolution kernels of different sizes, which makes the feature image information more abundant. The experimental results show that the test speed of each image in our network is 0.046 seconds, which manifests our proposed algorithm has high efficiency of infrared image super-resolution.

Citation Download Citation

Linfei Zhang, Yan Zou, Bowen Wang, Yan Hu, and Yuzhen Zhang "High-efficiency infrared image super-resolution algorithm based on a cascaded deep network", Proc. SPIE 11761, Fourth International Conference on Photonics and Optical Engineering, 117611M (15 January 2021); https://doi.org/10.1117/12.2587499

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available