A new approach to compress color-indexed images

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

1 Citation (Scopus)

Abstract

A lossless compression scheme for coding color-indexed images is proposed in this paper. This two-stage scheme first turns the index map of a color-indexed image into a new index map each element of which serves as an index to a pixel-dependently reordered version of the palette. Consequently, it reduces the zero-order entropy and the energy of the index map and removes the spatial correlation among pixels significantly. A matching coding scheme is then exploited to encode the new index map effectively. Simulation results show that the proposed compression scheme is superior to other state-of-art lossless compression schemes for coding color-indexed images in terms of compression performance.
Original languageEnglish
Title of host publicationAPSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Pages318-321
Number of pages4
Publication statusPublished - 1 Dec 2010
Event2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore
Duration: 14 Dec 201017 Dec 2010

Conference

Conference2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
CountrySingapore
CityBiopolis
Period14/12/1017/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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