Paper
4 May 2010 Construction of super-resolution imaging system considering spatially varying sub-pixel registration
Author Affiliations +
Abstract
Imaging sensors have physical limitations in spatial resolution, spectral resolution and dynamic range. Super-resolution (SR) image processing technology is to overcome these physical limitations. For decades, numerous researches have been conducted from theoretical points of view, and a variety of high-performance SR algorithms have been proposed. However, there is little work on the implementation of real-world SR imaging system. We have implemented two types of SR imaging systems. First, 9-eye system designed as a prototype is presented, and then 6-eye big system following the prototype is announced and demonstrated. The proposed SR algorithms and a few conventional SR algorithms are applied to both of the SR imaging systems. Problems and further study in SR imaging systems are constructed and discussed through experimental results.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sang Wook Park, Joonyoung Chang, Jongseong Choi, and Moon Gi Kang "Construction of super-resolution imaging system considering spatially varying sub-pixel registration", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772306 (4 May 2010); https://doi.org/10.1117/12.855622
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Imaging systems

Super resolution

Image registration

Prototyping

Reconstruction algorithms

Motion models

Image restoration

Back to Top