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

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14 Citations (Scopus)

Abstract

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. © 2013 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)266-282
JournalInformation Sciences
Volume239
DOIs
Publication statusPublished - 1 Aug 2013

Keywords

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

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