Context-based lossless interband compression - extending CALIC

Xiaolin Wu, Nasir Memon

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes an interband version of CALIC (Context-based, Adaptive, Lossless Image Codec) which represents one of the best performing, practical and general purpose lossless image coding techniques known today. Interband coding techniques are needed for effective compression of multispectral images like color images and remotely sensed images. It is demonstrated that CALIC's techniques of context modeling of DPCM errors lend themselves easily to modeling of higher-order interband correlations that cannot be exploited by simple interband linear predictors alone. The proposed interband CALIC exploits both interband and intraband statistical redundancies, and obtains significant compression gains over its intraband counterpart. On some types of multispectral images, interband CALIC can lead to a reduction in bit rate of more than 20% as compared to intraband CALIC. Interband CALIC only incurs a modest increase in computational cost as compared to intraband CALIC.

Original languageEnglish (US)
Pages (from-to)994-1001
Number of pages8
JournalIEEE Transactions on Image Processing
Volume9
Issue number6
DOIs
StatePublished - 2000

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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