Research Area: Machine Learning
Single-image super-resolution has been broadly applied in many fields such as military term, medical imaging, etc. In this paper, we mainly focus on the researches of recent years and classify them into non-deep learning SR algorithms and deep learning SR algorithms. For each classification, the basic concepts and algorithm processes are introduced. Furthermore, the paper discusses the advantages and disadvantages of different algorithms, which will offer potential research direction for the future development of SR.
Keywords:
Single-Image Super-Resolution
Machine Learning
Deep Learning
Author(s) Name: Tingting Yao, Yu Luo, Yantong Chen, Dongqiao Yang & Lei Zhao
Journal name:
Conferrence name: International Conference in Communications, Signal Processing, and Systems
Publisher name: Springer
DOI: 10.1007/978-981-13-6504-1_16
Volume Information:
