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Proceedings Paper

Information as a quality metric for high-resolution imaging
Author(s): Rachel Alter-Gartenberg; Stephen K. Park
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Paper Abstract

The resolution of digital images is limited to the camera's sampling interval, and their visual quality depends on the level of degradations from acquisition, through quantization, transmission and digital filtering, to display. This paper presents the information metric as an effective image quality assessment tool for high-resolution digital imaging-systems design. It shows its capabilities for any set of design constraints by assessing the electro/optical/digital imaging process as a unified system. It ties improvements in resolution and clarity of the final image representation to increases of the acquired information, by correlating the loss of resolution to the loss of information in the assessed system.

Paper Details

Date Published: 1 April 1998
PDF: 12 pages
Proc. SPIE 3308, Very High Resolution and Quality Imaging III, (1 April 1998); doi: 10.1117/12.302434
Show Author Affiliations
Rachel Alter-Gartenberg, Computer Sciences Corp. (United States)
Stephen K. Park, The College of William and Mary (United States)


Published in SPIE Proceedings Vol. 3308:
Very High Resolution and Quality Imaging III
V. Ralph Algazi; Andrew G. Tescher, Editor(s)

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