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Interpolation of missing data in image sequences.

A C Kokaram1, R D Morris, W J Fitzgerald

  • 1Dept. of Eng., Cambridge Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study introduces advanced model-based interpolation methods for reconstructing missing image regions in archived films, outperforming traditional median filters for clearer image restoration.

Area of Science:

  • Digital image processing
  • Computer vision
  • Signal processing

Background:

  • Archived film material often suffers from missing regions due to abrasion or obscuration.
  • These imperfections manifest as bright and dark flashes, known as "dirt and sparkle," impacting image quality.
  • Existing methods like median filters struggle with the arbitrary size and location of these missing areas.

Purpose of the Study:

  • To develop and evaluate novel model-based interpolation schemes for reconstructing missing regions in image sequences.
  • To address the specific challenge of "dirt and sparkle" in motion picture archives.
  • To compare the proposed methods against existing techniques, such as multilevel median filters.

Main Methods:

  • Utilizing 3-D autoregressive models and 3-D Markov random fields for reconstruction.

Related Experiment Videos

  • Estimating motion directions with a multiresolution block matching scheme.
  • Implementing and comparing model-based interpolation with multilevel median filters.

    • Main Results:

    • The proposed model-based interpolation schemes demonstrate superior reconstruction fidelity compared to multilevel median filters.
    • The methods effectively handle missing regions of arbitrary size and known location.
    • Successful suppression of impulsive noise characteristic of "dirt and sparkle" was achieved.

    Conclusions:

    • Model-based interpolation using 3-D autoregressive models and Markov random fields offers a significant improvement for restoring degraded image sequences.
    • These techniques provide a robust solution for preserving and enhancing archived film content.
    • The developed interpolators achieve higher fidelity in image reconstruction, particularly for "dirt and sparkle" artifacts.