TY - GEN
T1 - Deep learning based single image super-resolution
T2 - 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
AU - Ha, Viet Khanh
AU - Ren, Jinchang
AU - Xu, Xinying
AU - Zhao, Sophia
AU - Xie, Gang
AU - Vargas, Valentin Masero
PY - 2018/10/6
Y1 - 2018/10/6
N2 - Image super-resolution is a process of obtaining one or more high-resolution image from single or multiple samples of low-resolution images. Due to its wide applications, a number of different techniques have been developed recently, including interpolation-based, reconstruction-based and learning-based. The learning-based methods have recently attracted increasing great attention due to their capability in predicting the high-frequency details lost in low resolution image. This survey mainly provides an overview on most of published work for single image reconstruction using Convolutional Neural Network. Furthermore, common issues in super-resolution algorithms, such as imaging models, improvement factor and assessment criteria are also discussed.
AB - Image super-resolution is a process of obtaining one or more high-resolution image from single or multiple samples of low-resolution images. Due to its wide applications, a number of different techniques have been developed recently, including interpolation-based, reconstruction-based and learning-based. The learning-based methods have recently attracted increasing great attention due to their capability in predicting the high-frequency details lost in low resolution image. This survey mainly provides an overview on most of published work for single image reconstruction using Convolutional Neural Network. Furthermore, common issues in super-resolution algorithms, such as imaging models, improvement factor and assessment criteria are also discussed.
KW - convolutional neural network
KW - high-resolution image
KW - image super resolution
UR - http://www.scopus.com/inward/record.url?scp=85055134141&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-00563-4_11
DO - 10.1007/978-3-030-00563-4_11
M3 - Conference contribution book
AN - SCOPUS:85055134141
SN - 9783030005627
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 106
EP - 119
BT - International Conference on Brain Inspired Cognitive Systems - BICS 2018
A2 - Hussain, Amir
A2 - Luo, Bin
A2 - Zheng, Jiangbin
A2 - Zhao, Xinbo
A2 - Liu, Cheng-Lin
A2 - Ren, Jinchang
A2 - Zhao, Huimin
PB - Springer-Verlag
CY - Cham, Switzerland
Y2 - 7 July 2018 through 8 July 2018
ER -