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Group the images into sub-panoramas based on optimal suitability.
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Divide the images into groups, with each group dedicated to creating a 180MP super-resolution image.
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Develop RAW files into 16-bit TIFF format.
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Correct colors and remove haze for improved clarity.
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Sort the images within each group by sharpness, discarding the two least sharp images.
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Identify features to for a rough alignment of the images.
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Use the Enhanced Correlation Coefficient (ECC) method to align the images with sub-pixel precision.
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Compute the median and enhance sharpness to create a master image for optical flow correction.
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Apply optical flow correction to correct atmospheric turbulence.
- 4x upscale of images using Nearest Neighbor or Tensorflow EDSR (Enhanced Deep Residual Network).
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Compute the median of the corrected images.
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Apply an unsharp mask to restore fine details.
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Merge four panoramas into a single, large 360° panorama.
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Merge inn the sky and render the final panorama.

