Paper
8 February 2015 A database for spectral image quality
Steven Le Moan, Sony T. George, Marius Pedersen, Jana Blahová, Jon Yngve Hardeberg
Author Affiliations +
Proceedings Volume 9396, Image Quality and System Performance XII; 93960P (2015) https://doi.org/10.1117/12.2080760
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
We introduce a new image database dedicated to multi-/hyperspectral image quality assessment. A total of nine scenes representing pseudo-at surfaces of different materials (textile, wood, skin. . . ) were captured by means of a 160 band hyperspectral system with a spectral range between 410 and 1000nm. Five spectral distortions were designed, applied to the spectral images and subsequently compared in a psychometric experiment, in order to provide a basis for applications such as the evaluation of spectral image difference measures. The database can be downloaded freely from http://www.colourlab.no/cid.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven Le Moan, Sony T. George, Marius Pedersen, Jana Blahová, and Jon Yngve Hardeberg "A database for spectral image quality", Proc. SPIE 9396, Image Quality and System Performance XII, 93960P (8 February 2015); https://doi.org/10.1117/12.2080760
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Databases

Cameras

Visualization

Skin

Image compression

Calibration

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