During real-time image generation your model produces color inconsistencies How can the color calibration be refined

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Can I know? During real-time image generation, your model produces color inconsistencies? How can the color calibration be refined?
Feb 19 in Generative AI by Ashutosh
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To refine color calibration in real-time image generation, apply histogram matching, white balance correction, or use perceptual loss to enforce color consistency across generated frames.

Here is the code snippet you can refer to:

In the above, we are using the following key points:

  • Image Loading: Reads both the generated and reference images.
  • Color Space Conversion: Converts images to RGB format for proper processing.
  • Histogram Matching: Uses match_histograms to align color distributions between images.
  • Image Saving: Converts the calibrated image back to BGR and saves it.
  • Visualization: Displays the generated, reference, and calibrated images side by side.

Hence, by applying histogram matching, we effectively refine color calibration in real-time image generation, ensuring consistent color representation across frames.

answered Feb 21 by minna

edited Mar 6

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