Predictive coding using noncausal models

  • Authors:

  • Nikhil Balram;José M. F. Moura

  • Affiliations:

  • IBM Corporation, Boca Raton, FL;Dep. Electr. and Comp. Eng., Carnegie-Mellon University, Pittsburgh, PA

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
  • Year:
  • 1993

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Abstract

In this paper, we introduce a new technique for compression of images. The method models the images as noncausal random fields. Our approach couples a noncausal predictive technique with vector quantization to provide image compression of quality largely superior to that provided by DCT based techniques or by vector quantization (VQ) alone.