David Redwine:
Some of this star fetish might be historical. As recent as a decade ago if your star eccentricity wasn't nearly perfect your entire image was negatively affected. Fortunately those 9um pixels hid a lot of bad star data. Nowadays with 3.8u pixels being the norm, you can get nearly perfect galaxy and nebula photos with eccentricities as high as about 0.7. You can fix the stars with deconvolution, or run Starnet on the image and replace the stars with stars extracted from a selected subset of your subs.
Don't get me wrong, an image with sharp stars will always have more details than one with high eccentricity, but the eccentricity measured on a system with modern pixel sizes cannot be compared directly to a 9um pixel sensor. An under sampled or critically sampled system will always give lower eccentricity than an over-sampled system.
Always drizzle!!! Then perform most of your noise reduction and other processing, then apply a Gaussian blur equal to your oversampling factor then down sample to critically sampled resolution. Then you can compare your eccentricity to other systems.
CS, David
Hi David,
I have a slightly different point of view. Please allow me to share my 2 cents.
1. Only in consumer range the cameras have such small pixels since they use consumer CMOS. This trend to smaller pixels is very counterproductive. Usually you always run in oversampling range an get these bloated stars. Bigger pixels are better or you have to use binning. Also for SNR and photons per pixel. These small pixels are only good for short FL systems. Professional cameras tend to use much bigger pixels.
2. Eccentricity beyond 0.5 is hard to correct. Even with deconvolution. Moreover deconvolution works only if you have a unidirectional eccentricity over the entire image, e. g. coming from tracking inaccuracy. An eccentricity of 0.7 means also you have smeared the signal over many pixels which leads to low SNR.
3. Why should I make such an effort with Starnet, instead of having the right sampling factor from the start, or get rid of these eccentric subs? And if all my subs have an eccentricity of 0.7 then it might be better to find the error in the setup and get it fixed.
4. Sharp means not more information if you oversample. That's a common misunderstanding.
5. Drizzling makes only sense when undersampled. You add only nonexistent information to the image. Additionally you blow up the image size and increase processing time by the power of 2. Which could mean for full frame cameras it is not anymore reasonably to process.
I have to admit, my approach would be different, but there are always alternative ways.
CS Rudiger