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Space-frequency quantization using directionlets

  • University of Valencia
    ,
  • University of California at Berkeley
    ,
  • Swiss Federal Institute of Technology Lausanne
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2007

Publication status

Published - 01/01/2007

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424414376

ISBN (Electronic)

9781424414376

External Publication IDs

  • handle.net: 10547/292578
  • Scopus: 48149096589

Host publication title

nan

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