• Group the images into sub-panoramas based on optimal suitability.

  • Divide the images into groups, with each group dedicated to creating a 180MP super-resolution image.

  • Develop RAW files into 16-bit TIFF format.

  • Correct colors and remove haze for improved clarity.

  • Sort the images within each group by sharpness, discarding the two least sharp images.

  • Identify features to for a rough alignment of the images.

  • Use the Enhanced Correlation Coefficient (ECC) method to align the images with sub-pixel precision.

  • Compute the median and enhance sharpness to create a master image for optical flow correction.

  • Apply optical flow correction to correct atmospheric turbulence.

  • 4x upscale of images using Nearest Neighbor or Tensorflow EDSR (Enhanced Deep Residual Network).
  • Compute the median of the corrected images.

  • Apply an unsharp mask to restore fine details.

  • Merge four panoramas into a single, large 360° panorama.

  • Merge inn the sky and render the final panorama.