General embedded quantization for wavelet-based lossy image coding

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13 Citations (Scopus)

Abstract

Embedded quantization is a mechanism employed by many lossy image codecs to progressively refine the distortion of a (transformed) image. Currently, the most common approach to do so in the context of wavelet-based image coding is to couple uniform scalar deadzone quantization (USDQ) with bitplane coding (BPC). USDQ+BPC is convenient for its practicality and has proved to achieve competitive coding performance. But the quantizer established by this scheme does not allow major variations. This paper introduces a multistage quantization scheme named general embedded quantization (GEQ) that provides more flexibility to the quantizer. GEQ schemes can be devised for specific decoding rates achieving optimal coding performance. Practical approaches of GEQ schemes achieve coding performance similar to that of USDQ+BPC while requiring fewer quantization stages. The performance achieved by GEQ is evaluated in this paper through experimental results carried out in the framework of modern image coding systems. © 1991-2012 IEEE.
Original languageEnglish
Article number6392989
Pages (from-to)1561-1574
JournalIEEE Transactions on Signal Processing
Volume61
Issue number6
DOIs
Publication statusPublished - 20 Mar 2013

Keywords

  • General embedded quantization
  • JPEG 2000
  • lossy image coding

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