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Related Experiment Videos

Fast image and video colorization using chrominance blending.

Liron Yatziv1, Guillermo Sapiro

  • 1Electrical and Computer Engineering Department, University of Minnesota, Minneapolis, MN 55455, USA. liron@ece.umn.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 5, 2006
PubMed
Summary

This study introduces a fast and effective image and video colorization method. The computationally simple approach uses user-provided color scribbles for interactive, high-quality results with reduced complexity.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Media

Background:

  • Colorization, the process of adding color to grayscale images or videos, is inherently ambiguous due to the non-unique mapping from luminance to color.
  • Existing colorization techniques often require significant human interaction or computational resources.

Purpose of the Study:

  • To present a computationally simple and effective colorization algorithm for images and videos.
  • To enable interactive, on-the-fly colorization with user-provided chrominance scribbles.
  • To achieve high-quality results with reduced complexity and computational cost.

Main Methods:

  • The proposed method utilizes luminance-weighted chrominance blending.
  • Fast intrinsic distance computations are employed for efficient processing.

Related Experiment Videos

  • Interactive user input via reduced sets of chrominance scribbles guides the colorization process.

    • Main Results:

    • The algorithm achieves high-quality colorization for both still images and videos.
    • The method is significantly faster and less computationally expensive than previous techniques.
    • Interactive results are obtained promptly after user input.

    Conclusions:

    • The presented colorization technique offers an effective and efficient solution for digital media.
    • The approach allows for interactive, on-the-fly colorization with minimal user effort.
    • Potential extensions include modifying existing color images/videos and applying special effects.