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Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Three-dimensional subband coding with motion compensation.

J R Ohm1

  • 1Inst. fur Fernmeldetech., Tech. Univ. Berlin.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

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This study introduces 3-D frequency coding for video, improving motion vector field (MVF) handling and enabling lower encoding rates for high-motion sequences. The novel approach offers high energy compaction and a simpler decoder structure.

Area of Science:

  • Digital Signal Processing
  • Video Compression
  • Image Processing

Background:

  • Current video coding standards rely on hybrid coding concepts.
  • Spatial inhomogeneity in motion vector fields (MVF) poses challenges in uncovered and covered areas.
  • Existing methods struggle with efficient representation of motion dynamics in video sequences.

Purpose of the Study:

  • To investigate three-dimensional (3-D) frequency coding as an alternative to hybrid coding for video sequences.
  • To develop methods for temporal-axis frequency decomposition along motion trajectories.
  • To enhance video compression efficiency, particularly for high-motion content.

Main Methods:

  • Temporal-axis frequency decomposition using two-band split and linear-phase quadrature mirror filters (QMFs).

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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Last Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

  • Handling spatial inhomogeneity by embedding original pixel values in low-pass bands and displaced-frame-difference in high-pass bands.
  • Spatial subband decomposition via parallel filterbank and adaptive lattice vector quantization for encoding temporal-axis subband signals.

    • Main Results:

    • Successfully overcame spatial inhomogeneity issues in MVF for uncovered/covered areas.
    • Achieved significantly lower encoding rates for high-motion video sequences compared to conventional hybrid coders.
    • Demonstrated high energy compaction capability and a nonrecursive decoder structure.

    Conclusions:

    • The proposed 3-D frequency coding scheme offers a more efficient approach to video compression.
    • The method acts as a motion-compensated short-time spectral analysis adaptable to rapid changes.
    • A true multiresolution representation of motion information remains an area for future research.