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Three-dimensional image compression with integer wavelet transforms.

A Bilgin1, G Zweig, M W Marcellin

  • 1Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA. bilgin@ece.arizona.edu

Applied Optics
|March 18, 2008
PubMed
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A new 3-D image compression algorithm, 3-D CB-EZW, efficiently encodes 3-D data using wavelet transforms and zerotree coding. It offers significant file size reductions for medical and remote sensing images compared to 2-D methods.

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Three-dimensional (3-D) imaging generates large datasets, necessitating efficient compression techniques.
  • Existing 2-D compression methods are suboptimal for volumetric data.
  • Wavelet transforms and zerotree coding are effective for image compression.

Purpose of the Study:

  • To develop an efficient 3-D image compression algorithm.
  • To extend the Embedded Zerotree of Wavelet Coefficients (EZW) algorithm to three dimensions.
  • To improve compression performance using context-based adaptive arithmetic coding.

Main Methods:

  • Extension of the EZW algorithm to handle 3-D data.
  • Integration of context-based adaptive arithmetic coding for enhanced efficiency.

Related Experiment Videos

  • Exploitation of inter-dimensional dependencies in 3-D image data.

    • Main Results:

    • The 3-D CB-EZW algorithm achieved significant reductions in compressed file sizes: 22% for computed tomography, 25% for magnetic resonance, and 20% for Airborne Visible Infrared Imaging Spectrometer images.
    • The algorithm supports both lossy and lossless decompression from a single bitstream.
    • Progressive coding performance was evaluated against other lossy methods.

    Conclusions:

    • The 3-D CB-EZW algorithm provides superior compression for 3-D image data compared to state-of-the-art 2-D techniques.
    • The method efficiently leverages spatial dependencies across all three dimensions.
    • It offers a versatile solution for 3-D image compression, supporting both lossy and lossless modes.