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BlockHead
About
- Username
- BlockHead
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Comments
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I am not convinced MUREDenoise works well with CMOS. (especially OSC) -the Blockhead
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ah!It is using High Pass Filter as a way to capture the banding. Then it uses it as a mask (and presumably corrects).That is my guess. If I am right, you can definitely do this in PI. Instead of a HighPass filter... you might use MLT to create captu…
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Once you are dithering to an spatial extent that is larger than the artifact... I doubt a larger dither will help much. That is some serious banding. I have not seen something this dramatic before. Yuck. I wonder if there is a way to create a "flat"…
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Hi Larry, Well, now I will let you in on my evil plan. FastTrack Training is just a tiny fraction...the bare minimum of information that hopefully whets your appetite for more. All of the information you, all of the answers are part of Fundamentals.…
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Ah... yes, good!-the Blockhead
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The dark ringing is a indeed an artifact of LN. This is the issue with that method for many data.Also, using the standard method, Weighting and Normalization are handled as different uncorrelated things. NSG correlates the weights with the measured …
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I think that means the file was not completed downloaded. (by the way, my link doesn't work...I have contacted tech support about that. I appears my external links have become funkified). see my attached image... I just downloaded it. thanks,-the Bl…
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As long as you have the repository URLs in your Resources... it should grab everything as an update. This appears to have worked properly for me (I just did the upgrade.) Also, I posted a fix to force the download of third-party scripts. You just ne…
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Yeah... JPEGs are not data. You do not process JPEG images at any time (WBPP or elsewhere). Were you able to reproduce the results in FastTrackTraining yet? This is probably the best thing to do. Regarding those JPEGs. Some image capture software pr…
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At the moment Juan is moving in the direction of a different algorithmic way to both normalize and determine weights. So NSG will remain one kind of method. The behind-the-scenes info is that Juan algorithms are beginning to converge/agree with NSG…
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Ah ha! Interesting. -the Blockhead
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The Lum is just easier to see issues... you all wavelengths of light going through... everything is there. -the Blockhead
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Keep on eye on cloned images (or copies of previews). I am pretty sure FITs info does not carry forward form them. You should be able to determine at which point the FITs header goes away regardless of the above idea.-the Blockhead
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You need to take flats EACH time if you have dust donuts. Flats that compensate for vignetting (field non-uniformity) will work for long periods of time because they do not have much spatial information. The addition of dust donuts changes the game …
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I wonder why I am "last" ...lol. You have demonstrated the issue isn't in the process of acquiring the flat... that is a good step. So I would not so easily dismiss the mechanical change in the system (whether it is filter alignment or something shi…
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You can use LPS- but you will need to do it "manually" and not use the automated method. I suggest you read Vicent's description of this method and see if it interests you. Regarding a defect map- you can identify the bad columns and use pixel math…
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The bottom image has nothing in the FITS header. I don't know how you lost this information. -the Blockhead
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The Image solving problem means something is not quite right with regards to the initial coordinates or the plate scale. (Sometimes people confuse themselves because they drizzle images.)Without having the image in hand, I cannot say specifically wh…
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I am eventually going to do a tutorial on Photometric Mosaic... which is what you need to use. It is a remarkable tool. The good news is that John wrote up a very fine manual. -the Blockhead
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See the WIki article:https://en.wikipedia.org/wiki/Adaptive_histogram_equalization