Title
Evaluation of super-resolution algorithms for mosaic hyperspectral imagery
Author
Nieuwenhuizen, R.P.J.
Schottner, M.
Pruim, R.H.R.
van Dijk, R.
van der Stap, N.
Schutte, K.
Publication year
2019
Abstract
Hyperspectral imaging sensors acquire images in a large number of spectral bands, unlike traditional electro-optical and infrared sensors which sample only one or few bands. Hyperspectral mosaic sensors acquire an image of all spectral bands in one shot. Using a patterned array of spectral filters they measure different wavelength bands at different pixel locations, but this comes at the cost of a lower spatial resolution, as the sampling per spectral band is lower. Software algorithms can compensate for this loss in spatial sampling in each spectral channel. Here we compare the image quality obtained with spatial bicubic interpolation and two categories of super resolution algorithms: Two single frame super resolution algorithms which exploit spectral redundancies in the data and two multiframe super resolution algorithms which exploit spatio-Temporal structure. We make a quantitative assessment of the spatial and spectral image reconstruction quality on synthetic data as well as on semi-synthetic mosaic sensor data for applications in security and medical domains. Our results show that multi frame super resolution provides the best spatial and signal-To-noise quality. The single frame super resolution approaches score lower on spatial sharpness but do provide a substantial improvement compared to mere spatial interpolation, while providing in some cases the best spectral quality. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Subject
Image processing
Optical filters
Performance evaluation
Reconstruction algorithms
Super resolution
Image acquisition
Image processing
Image reconstruction
Infrared detectors
Interpolation
Medical imaging
Optical data processing
Optical filters
Optical resolving power
Signal to noise ratio
Spectroscopy
Computational imaging
Demosaicing
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DOI
https://doi.org/10.1117/12.2532606
TNO identifier
872043
Publisher
SPIE
ISBN
9781510630291
ISSN
0277-786X
Source
Proceedings of SPIE - The International Society for Optical Engineering, Emerging Imaging and Sensing Technologies for Security and Defence IV 2019, 11-Sep-19
Article number
1116305
Bibliographical note
Sponsor: The Society of Photo-Optical Instrumentation Engineers (SPIE)
Document type
conference paper