I was able to use ManualImageSolver to create an DistortionModel that allows pixel exact solving of my input images. However, this distortion model doesn't help to enhance the registration quality of StarAlignment, either when aligning against an artificial starfield or aligning two images against each other once one of them is shifted about 1000 Pixel (see screenshot). Registration quality when aligning against the starfield is somewhat better, but the result is still not useable. Very misleading is the console output of the registration process stating subpixel max delta errors, whereas the real errors are 10 or more pixels.
So for now I can only continue when removing the problematic images from the stack. This means, that for some panels only 11 or 12 images are left, but luckily the Bayer Drizzle will still produce very good results even for these stacks.
With the invaluable tools of ImageSolver/ManualImageSolver/MosaicByCoordinates I propose a possible third way for mosaic creation, where input images are warped only once and all available input data in overlapping areas is contributing in a pixel stack:
- Batch solve all input images (ImageSolver)
- Warp them to their final position in the mosaic (MosaicByCoordinates)
- ImageIntegrate everything
This is basically what scamp/swarp does, however I'm not sure how the ImageIntegration process would handle the frame adaptation between the input images. Also, MosaicByCoordinates would not generate .drz-Files for Bayer Drizzle.
Anyway, the upper half of my mosaic already looks good, and I'm confident to add the lower half soon
![smile :)](http://pixinsight.com/forum/Smileys/default/smile.gif)
Rüdiger