Paper
8 July 2003 Spatial-temporal characterization of noise in web cameras
Author Affiliations +
Proceedings Volume 5036, Photonics, Devices, and Systems II; (2003) https://doi.org/10.1117/12.498552
Event: Photonics, Devices, and Systems II, 2002, Prague, Czech Republic
Abstract
Web cameras are widely used as an image acquisition systems that are cheap, available and easily configured. Their settings are implemented electronically and the software drivers have a limited access to the internal characteristic of the cameras. These settings are prepared to cover the most common of the illumination conditions and scenes. The images provided by these cameras not only have to do with the physical characteristics of the detector array, but also with the compression algorithm used to present the images onto a display. In this contribution we apply the principal component analysis to a set of frames obtained by web cameras. This method allows to extract different spatial-temporal patterns of the noise of the cameras.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Manuel Lopez-Alonso and Javier Alda "Spatial-temporal characterization of noise in web cameras", Proc. SPIE 5036, Photonics, Devices, and Systems II, (8 July 2003); https://doi.org/10.1117/12.498552
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Image compression

Image processing

Image enhancement

Principal component analysis

Image acquisition

Image resolution

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