Technique for lossless compression of color images based on hierarchical prediction, inversion, and context adaptive coding

Basar Koc, Ziya Arnavut, Dilip Sarkar, Hüseyin Koçak

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Among the variety of multimedia formats, color images play a prominent role. A technique for lossless compression of color images is introduced. The technique is composed of first transforming a red, green, and blue image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced earlier, Burrows-Wheeler inversion coder or JPEG 2000 is used in compression of those Cu and Cv channels. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other wellknown compression schemes, such as CALIC, M-CALIC, Better Portable Graphics, JPEG-LS, JPEG 2000, and the previously proposed hierarchical prediction and context-adaptive coding technique LCIC.

Original languageEnglish (US)
Article number053007
JournalJournal of Electronic Imaging
Volume28
Issue number5
DOIs
StatePublished - Sep 1 2019

Keywords

  • Adaptive
  • Burrows-Wheeler transformation
  • Context-based
  • Hierarchical decomposition and prediction
  • Inversion coding
  • JPEG 2000
  • Lossless color image compression
  • Lossless image coding

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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