Producing color-indexed images with scalable color and spatial resolutions

Yik Hing Fung, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Making the media content to be delivered over the Internet to clients of various capabilities scalable is crucial to improve the efficiency of various involved parties. GIF is one of the primary Web file formats used in Web applications nowadays and hence it is desirable to make them scalable as well. However, as GIF format is purposely designed for supporting clients of limited decoding capability, the scalability should be introduced with only a small increase in decoder complexity and bitstream overhead. This paper presents an algorithm that is able to produce color-indexed images with scalable color and spatial resolutions. Downscaled versions of an color-indexed image can be obtained by just bit-cropping and/or down-sampling the index plane of the image.
Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherIEEE
Pages8-13
Number of pages6
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 19 Feb 2016
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 16 Dec 201519 Dec 2015

Conference

Conference2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period16/12/1519/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

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