Lossy-to-lossless 3D image coding through prior coefficient lookup tables

Francesc Aulí-Llinàs, Michael W. Marcellin, Joan Serra-Sagristà, Joan Bartrina-Rapesta

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


This paper describes a low-complexity, high-efficiency, lossy-to-lossless 3D image coding system. The proposed system is based on a novel probability model for the symbols that are emitted by bitplane coding engines. This probability model uses partially reconstructed coefficients from previous components together with a mathematical framework that captures the statistical behavior of the image. An important aspect of this mathematical framework is its generality, which makes the proposed scheme suitable for different types of 3D images. The main advantages of the proposed scheme are competitive coding performance, low computational load, very low memory requirements, straightforward implementation, and simple adaptation to most sensors.

Original languageEnglish (US)
Pages (from-to)266-282
Number of pages17
JournalInformation Sciences
StatePublished - Aug 1 2013


  • 3D image coding
  • Bitplane image coding
  • Entropy coding
  • JPEG2000

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence


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