What would be good is having comparable use cases: a dataset where
--Ram
Nail on head! The core tenet of the approach to noise in
Of course, SNR analysis/comparisons is fraught with caveats and is only useful under very strict conditions. That said small differences in signal fidelity of the source material can have a significant impact on algorithms that are extremely susceptible to noise (e.g. deconvolution).
Apart from automating tedious tasks that require no subjective inputs, and throwing away less signal by respecting it better, facilitating a human's interpretation of what a "best" image constitutes, is definitely extremely high priority.I mean as programmers we really want the tedium of programming to go away, right? We should be able to say "take this data and make me the best image you can with it". But it seems to make every photon count, there are no short cuts (yet).
The benefits of back and forward propagating signal throughout the full workflow chain should readily demonstrable on almost any dataset that is reasonably clean and not too oversampled, particularly when deconvolution and noise reduction is involved. Any dataset where you don't see marked improvements, do let me know (this would actually be considered a bug!)What would be good is having comparable use cases: a dataset where Startools made a clear difference vs. the PI approach
PS: My first programming on a personal basis was also on a Z80 (and a VAX/VMS mainframe). I actually was into hardware first when I was a teenager and I built a simple computer using a Z80 chip complete with making the entire PCB and using ferric sulphate to etch out the copper according to the design I copied from a magazine... the only "program" it ran was a telephone call redialler programmed using a calculator keyboard.
You were just approved! Indeed,ram wrote: ↑Mon Sep 07, 2020 9:45 am So I've signed up for the startools forum - once I get approved for posting there are some issues I've run into which I'll write about if I don't solve them ahead of time. I'm really not a big fan of learning by video tutorials - I prefer to read text. My understanding so far is that all the preprocessing up to creating a stacked image must be done outside of StarTools?
--Ram
startoolsastro wrote: ↑Mon Sep 07, 2020 10:00 amYou were just approved! Indeed,ram wrote: ↑Mon Sep 07, 2020 9:45 am So I've signed up for the startools forum - once I get approved for posting there are some issues I've run into which I'll write about if I don't solve them ahead of time. I'm really not a big fan of learning by video tutorials - I prefer to read text. My understanding so far is that all the preprocessing up to creating a stacked image must be done outside of StarTools?
--RamStarTools is focused on post-processing only. You will want to give these dos and don'ts a look over before processing your first stack inStarTools . Some things may be obvious to a veteran user, though some may not be. If useful, you will also find aPI <-> ST translation table on the forum.
One thing not immediately obvious if you are otherwise quite familiar withAP processing, is that ST (preferably) processes your luminance and chrominance signal separately (yet simultaneously). Looking forward to your findings/questions on the forum!
I'd rather have the results speak for themselves Steve, rather than me telling you this or that is "better".
Hi Ram,ram wrote: ↑Mon Sep 07, 2020 9:45 am So I've signed up for the startools forum - once I get approved for posting there are some issues I've run into which I'll write about if I don't solve them ahead of time. I'm really not a big fan of learning by video tutorials - I prefer to read text. My understanding so far is that all the preprocessing up to creating a stacked image must be done outside of StarTools?
--Ram
Thanks Ram. I will look out for your posts.ram wrote: ↑Tue Sep 08, 2020 4:22 am My account name is ramdom. I don't see how I can set my name on there but "ramdom" should work.
I am still trying to see if I can follow the ST Quick Start guide on my (difficult) data set to see if I can even produce something reasonable but so far it has been difficult. I will post by the end of the night if I don't make progress. I can post it here as well in my Ou4/Squid thread - it is a challenge to process my 53 hour master light into something better than what I've done so far.
--Ram
startoolsastro wrote: ↑Tue Sep 08, 2020 12:36 amI'd rather have the results speak for themselves Steve, rather than me telling you this or that is "better".
To help with a side-by-side, apples-to-apples comparison, it is - to a certain extent - possible to "inject" another program's stretch intoStarTools ' Tracking engine (there may be some minimal signal loss, but nothing too bad), so if you're interested in comparing the results of ST's tools working with the exact same stretched data as some other software (for examplePI ), then that might be of interest.
E.g. you would get some clean, not too oversampled (but not undersampled!), mono data. Clean it up with DBE/ABE (this is where some signal loss may occur), save that virgin linear data away. Then do a global stretch (or a screen stretch you plan on making permanent) inPI and save that virgin stretched image away. Then inPI , undo that stretch, do your - for example - decon and anything else that requires linear data, then redo that same stretch you performed earlier.
In ST, open the virgin linear data you saved away inPI and switch Tracking on, go into the Layer module, Open the virgin stretchedPI image into the foreground and Keep that. NowStarTools will be able to tell how you got from A (linear image) to B (stretched image) - though minus the DBE/ABE step - and it can build on this.
Continue processing as normal in ST (andPI ), testing out the different behaviors of the different modules when using them on this "stretched" data in isolation or in conjunction. For example, try doing some Wavelet Sharpening with Decon on top and notice how Decon is completely unfazed by the stretch or the subsequent wavelet sharpening (in fact it uses the extra knowledge to its advantage). Or you can turn off Tracking immediately and evaluate how noise reduction is performing, etc.
Happy to take anyone on a tour with such a dataset privately, or in another thread!
53 hours! Nice! Here to help if there's no progress.
Does Star Tools offer a trial of some sort?
LOL. When I saw that itty-bitty green textbook for Diff
Back in my undergraduate college days (and we are talking WAY back - '70s), I had just picked up my Quantum Mechanics text book from the bookstore. Now mind you, we're talkin' the 1970's. The book was hardback, only about 1/2" thick but cost about $90! The opening paragraph in the very first chapter read: "It is assumed the student has a thorough knowledge of Tensor analysis" ---- I knew I was in trouble
XCalRocketMan wrote: ↑Thu Sep 10, 2020 5:10 pmBack in my undergraduate college days (and we are talking WAY back - '70s), I had just picked up my Quantum Mechanics text book from the bookstore. Now mind you, we're talkin' the 1970's. The book was hardback, only about 1/2" thick but cost about $90! The opening paragraph in the very first chapter read: "It is assumed the student has a thorough knowledge of Tensor analysis" ---- I knew I was in trouble
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