A New Technique for Lossless Compression of Color Images Based on Hierarchical Prediction, Inversion and Context Adaptive Coding

Basar Koc, Ziya Arnavut, Dilip Sarkar, Huseyin Kocak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This work introduces a new technique for lossless compression of color images. The technique is composed of first transforming an RGB 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 by Kim and Cho, Burrows-Wheeler Inversion Coder (BWIC) or JPEG 2000 is used to compress of the chrominance channels Cu and Cv. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes such as CALIC, JPEG 2000, LOCO-I, BPG(HEVC), and the previously proposed hierarchical prediction and context adaptive coding technique LCIC.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2019
Subtitle of host publication2019 Data Compression Conference
EditorsJoan Serra-Sagrista, Michael W. Marcellin, Ali Bilgin, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781728106571
DOIs
StatePublished - May 10 2019
Event2019 Data Compression Conference, DCC 2019 - Snowbird, United States
Duration: Mar 26 2019Mar 29 2019

Publication series

NameData Compression Conference Proceedings
Volume2019-March
ISSN (Print)1068-0314

Conference

Conference2019 Data Compression Conference, DCC 2019
CountryUnited States
CitySnowbird
Period3/26/193/29/19

Keywords

  • BWIC
  • BWT
  • CALIC
  • JPEG 2000

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A New Technique for Lossless Compression of Color Images Based on Hierarchical Prediction, Inversion and Context Adaptive Coding'. Together they form a unique fingerprint.

  • Cite this

    Koc, B., Arnavut, Z., Sarkar, D., & Kocak, H. (2019). A New Technique for Lossless Compression of Color Images Based on Hierarchical Prediction, Inversion and Context Adaptive Coding. In J. Serra-Sagrista, M. W. Marcellin, A. Bilgin, & J. A. Storer (Eds.), Proceedings - DCC 2019: 2019 Data Compression Conference [8712643] (Data Compression Conference Proceedings; Vol. 2019-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCC.2019.00096