New algorithms for optimal binary vector quantizer design

  • Authors:
  • Xiaolin Wu;Yonggang Fang

  • Affiliations:
  • -;-

  • Venue:
  • DCC '95 Proceedings of the Conference on Data Compression
  • Year:
  • 1995

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Abstract

New algorithms are proposed for designing optimal binary vector quantizers. These algorithms aim to avoid the problem of the generalized Lloyd method of easily getting trapped into a poor local minimum. To improve the subjective quality of vector-quantized binary images, a constrained optimal binary VQ framework is proposed. Within this framework, the optimal VQ design can be done via an interesting use of linear codes.