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Multispectral bilateral video fusion.

Eric P Bennett1, John L Mason, Leonard McMillan

  • 1University of North Carolina at Chapel Hill, Chapel Hill, NC 27529, USA. bennett@cs.unc.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 12, 2007
PubMed
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This study introduces a novel video enhancement technique fusing visible-spectrum (RGB) and nonvisible infrared (IR) data. The method improves low-light RGB video quality by leveraging IR data for detail and noise reduction, resulting in sharper, more accurate visuals.

Area of Science:

  • Computer Vision
  • Image Processing
  • Multispectral Imaging

Background:

  • Visible-spectrum (RGB) video suffers from noise and underexposure in low-light conditions.
  • Infrared (IR) sensors capture clear images in low light but lack color and luminance detail.
  • Existing methods struggle to effectively combine complementary strengths of RGB and IR data.

Purpose of the Study:

  • To develop a fusion technique enhancing underexposed visible-spectrum video using infrared data.
  • To reconstruct RGB video with improved detail, color accuracy, and luminance.
  • To create a visually superior output without incorporating IR-only elements.

Main Methods:

  • Applied temporal noise reduction to RGB video for improved color accuracy.
  • Normalized IR video using ratio images for cross-spectral compatibility.

Related Experiment Videos

  • Introduced a "dual bilateral" filter for robust multispectral video decomposition.
  • Fused RGB low frequencies, IR texture details, and dual bilateral edges.

    • Main Results:

    • Achieved noise-reduced video output with sharp details.
    • Preserved correct chrominances and natural relative luminances.
    • Successfully reconstructed RGB input assisted by IR data, not IR-only content.

    Conclusions:

    • The proposed fusion technique effectively enhances underexposed visible-spectrum video.
    • The dual bilateral filter robustly decomposes multispectral video for fusion.
    • This method offers a significant improvement for low-light video applications.