Skip to search boxSkip to navigationSkip to main content

Efficient image compression 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

Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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)

9781424409839

ISBN (Electronic)

9781424409839

External Publication IDs

  • handle.net: 10547/292619
  • Scopus: 50449106328

Host publication title

nan

Access to documents

Publication metrics

Metrics