Fast method for combining palettes of color quantized images

Vaughn S. Iverson, Eve A. Riskin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The majority of modern workstations and personal computers use an 8-bit color mapped graphics architecture for displaying images. A major issue in implementing useful image software on such systems is `palette management': servicing run-time demands placed upon the hardware color look-up table such as displaying multiple images (with different palettes) simultaneously. This paper considers the use of a vector quantization algorithm - the pairwise nearest neighbor algorithm - as a means of quickly combining the palettes of multiple images into a single shared palette that can be used for simultaneous display. This approach yields an efficient and practical method of managing palettes that adds little distortion to the images being displayed. This paper describes the implementation and results of this work.

Original languageEnglish
Title of host publicationImage and Multidimensional Signal Processing
PagesV-317-V-320
StatePublished - 1993
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: 27 Apr 199330 Apr 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period27/04/9330/04/93

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