Laser & Optoelectronics Progress, Volume. 58, Issue 18, 1811014(2021)
Stereo Image Super-Resolution: A Survey
With the development of stereo imaging technology, stereo image super-resolution has attracted increasing attention in recent years. Different from single image super-resolution, stereo image super-resolution can further improve the quality of image reconstruction by using the complementary information between left and right view images. In this paper, we present a comprehensive survey on recent advances of stereo image super-resolution field. Firstly, we introduce the fundamental theory of stereo imaging. Then, we review the existing stereo image super-resolution algorithms and stereo image datasets. Afterwards, we comprehensively evaluate several mainstream deep learning-based stereo image super-resolution algorithms on benchmark datasets, and investigate the influences of different training sets on the performances of super-resolution algorithms. Finally, we summarize challenges and prospect future research directions in stereo image super-resolution.
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Yingqian Wang, Longguang Wang, Zhengyu Liang, Wei An, Jungang Yang. Stereo Image Super-Resolution: A Survey[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811014
Category: Imaging Systems
Received: Jun. 1, 2021
Accepted: Jun. 26, 2021
Published Online: Aug. 28, 2021
The Author Email: Yang Jungang (yangjungang@nudt.edu.cn)