AutoIntegrate v1.46 has a new functionality for automatic cropping to common area. It automatically crops possible bad pixels on the sides of the images. This works by integrating all images, finding an area where all images are contributing and cropping channel images to that area. Automatic cropping code was contributed by Jean-Marc Lugrin.
Below is an example that shows the difference between non-cropped image (left) and cropped image (middle). On the right is a LowRejectionMap_ALL file showing the cropped area. Data for the image is from Telescope Live.
AutoIntegrate is a script that runs the whole processing workflow from image calibration to final image. It is best suited for:
For automatic updates there is a PixInsight repository: https://ruuth.xyz/autointegrate
Below is an example that shows the difference between non-cropped image (left) and cropped image (middle). On the right is a LowRejectionMap_ALL file showing the cropped area. Data for the image is from Telescope Live.
AutoIntegrate is a script that runs the whole processing workflow from image calibration to final image. It is best suited for:
- When you are starting out with PixInsight and want to do a quick image processing before learning all the details.
- For quick calibration, alignment and integration (but not a replacement for WBPP), especially useful if you use remote observatories or other existing, pre-calibrated images or prepared masters.
- Quick generation of a reasonably good image, especially with filter combinations that may be difficult to manage when starting out.
- The possibility to have a quick look at a result and manually process the problematic steps if needed (so you do not spend a day processing an image whose color were badly balanced to start with). This is especially useful to see if your calibration/integration is good enough or leave artifacts/gradients/... that should be removed early.
For automatic updates there is a PixInsight repository: https://ruuth.xyz/autointegrate