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DCT-based motion estimation.

U V Koc1, K R Liu

  • 1Lucent Technologies, Bell Laboratories, Murray Hill, NJ07974, USA. koc@lucent.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
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Novel discrete cosine transform (DCT) pseudophase techniques estimate signal delay and motion. The DCT-based motion estimation (DXT-ME) algorithm offers efficient, robust video coding with parallel processing capabilities.

Area of Science:

  • Signal Processing
  • Image Processing
  • Video Coding

Background:

  • Traditional methods for signal delay and motion estimation are computationally intensive.
  • Existing video coding structures involve multiple feedback loop components, limiting system throughput.

Purpose of the Study:

  • To introduce novel discrete cosine transform (DCT) pseudophase techniques for signal delay estimation.
  • To extend these techniques into a DCT-based motion estimation (DXT-ME) algorithm for 2-D signals/images.
  • To evaluate the DXT-ME algorithm's advantages in video coding applications.

Main Methods:

  • Developed 1-D DCT pseudophase techniques using DCT coefficients and sinusoidal orthogonal principles.
  • Extended to a 2-D DCT-based motion estimation (DXT-ME) algorithm for translational motion models.

Related Experiment Videos

  • Implemented and simulated the DXT-ME algorithm for video sequences.

    • Main Results:

    • DXT-ME demonstrates robustness in noisy environments and lower computational complexity (O(M^2)) compared to block-matching (O(N^2 * M^2)).
    • Enables a fully DCT-based motion-compensated video coder with a simplified feedback loop, increasing system throughput.
    • DXT-ME exhibits highly parallel local operations, suitable for VLSI design.

    Conclusions:

    • DCT pseudophase techniques provide an effective method for signal delay and motion estimation.
    • The DXT-ME algorithm presents a computationally efficient and parallelizable alternative for video coding.
    • The proposed methods facilitate a more optimized and higher-throughput video coder architecture.