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.