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Proceedings Paper

Fast source-based dithering for networked digital video
Author(s): Tom Q. Nguyen; Jonathon Kay; Joseph Pasquale
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Paper Abstract

Source-based dithering is a set of techniques designed to maximize the performance of real- time networked digital video systems that encode and decode video entirely in software. Usually frame grabber hardware presents frames in a 24 bit per pixel (bpp) format. However, most hosts are only equipped with single or eight bit deep displays and thus the color depth of the video must be reduced at some point. If the encoder reduces the color depth, the bandwidth required to carry the video on the network is lowered by a factor of 24 or 3 respectively, and the computational load is lightened on the receiving hosts. The color depth reduction algorithm must be efficient since the resulting frame rate, and thus the degree to which the illusion of motion is preserved, depends on how quickly a pixel can be processed. We use dithering algorithms chosen for efficiency and a contrast enhancement algorithm to improve image quality.

Paper Details

Date Published: 1 April 1994
PDF: 10 pages
Proc. SPIE 2188, High-Speed Networking and Multimedia Computing, (1 April 1994);
Show Author Affiliations
Tom Q. Nguyen, Univ. of California/San Diego (United States)
Jonathon Kay, Univ. of California/San Diego (United States)
Joseph Pasquale, Univ. of California/San Diego (United States)

Published in SPIE Proceedings Vol. 2188:
High-Speed Networking and Multimedia Computing
Arturo A. Rodriguez; Mon-Song Chen; Jacek Maitan, Editor(s)

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