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Related Experiment Videos

Optimal block boundary pre/postfiltering for wavelet-based image and video compression.

Jie Liang1, Chengjie Tu, Trac D Tran

  • 1School of Engineering Science, Simon Fraser University, Burnaby, Canada. jiel@sfu.ca

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
PubMed
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This study introduces a pre/postfiltering framework to minimize reconstruction errors in wavelet-based compression. The method effectively reduces artifacts in image and video coding, outperforming existing techniques.

Area of Science:

  • Digital image and video compression
  • Wavelet transforms
  • Signal processing

Background:

  • Wavelet-based compression methods often suffer from reconstruction errors at block boundaries.
  • Artifacts like JPEG 2000 tiling and 3D wavelet video jittering degrade visual quality.
  • Existing methods for artifact reduction may lack optimality or efficiency.

Purpose of the Study:

  • To develop a novel pre/postfiltering framework to mitigate reconstruction errors in wavelet-based image and video compression.
  • To design algorithms for optimal filter derivation based on boundary filter banks and polyphase structures.
  • To evaluate the framework's effectiveness in removing specific compression artifacts.

Main Methods:

  • Development of a pre/postfiltering framework for wavelet compression.

Related Experiment Videos

  • Design of two algorithms for optimal filter computation: one based on boundary filter banks, another on polyphase structure.
  • Implementation of a low-complexity structure for approximating the optimal filter solution.
  • Experimental evaluation of artifact reduction performance.

    • Main Results:

    • The proposed pre/postfiltering framework significantly reduces reconstruction errors near block boundaries.
    • Demonstrated effectiveness in removing JPEG 2000 tiling artifacts in images.
    • Successfully mitigated jittering artifacts in three-dimensional wavelet video coding.
    • Comparative analysis confirmed the superiority of the proposed framework over other methods.

    Conclusions:

    • The developed pre/postfiltering framework offers an effective solution for reducing artifacts in wavelet-based compression.
    • The optimized filters derived from the proposed algorithms enhance compression performance and visual quality.
    • This approach provides a valuable advancement for both image and video compression technologies.