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BlockHead
About
- Username
- BlockHead
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Comments
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Yes, I have changed my tune. DBE is simply undefined in several fundamental ways. The results are similar no matter whether you use subtraction or division..but division requires normalization to bring back the sky level and keep the colors. So... …
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I am sorry, this understanding concerning RGB and LinearFit is not correct. Regarding Deconvolution- just using Decon to "shrink" stars is likely not the best use of the tool. There are other techniques that perhaps attain a similar result with mu…
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1. WBPP including Alignment is OK.2. NormalizeScaleGradient3. ImageIntegration4. DBE (OK)5. MUREDenoise (OK) MLT? This is not my methodology. Usually better to wait for non-linear6. LInear Fit DO NOT MAKE MY HEAD EXPLODE! This is not sanctioned by A…
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Yes. GESD is a new algorithm. The choices are made by the number of images- but you can override this just be selecting the rejection algorithm. Winsorized is OK- but there are occasions for bright objects where low rejection is odd. Rare...but I kn…
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There will be real differences between the images. NSG is matching a particular frame- and then DBE (if used as I did) will add more differences. So to assert a precise match on the STF likely isn't warranted.
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Yes...I hope my video clarifies the reasoning behind the threshold and how to approach the weights you get. Remember, the weighting is a relative measure within a set of data. Imagine all of the data could be acceptable...but the best is still twice…
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Yes, the same stretch as being the "auto" stretch...which will accomplish this based on the histograms of the images. As I noted, there is little change in the "noise" component of the images- but I think this makes sense- we aren't actually adding…
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Well... there are a couple of approaches. My default teaching method is to explain lot of concepts and tool *first* before showing fully worked examples. So I would step Through the initial videos of Fundamentals in order (I assume you completed Fas…
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Oh..that is because you used (or it chose) Linear Fit clipping as the rejection method. Personally I would force GESD if you have enough files (and I suspect you do based on this). I think I *tried* to explain what it was in one of the ImageIntegrat…
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Please see the video here: https://www.adamblockstudios.com/articles/interpretation-nsg-output
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I just finished it.Will publish today or tomorrow.-the Blockhead
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I always get criticism on this front. If I use "nice" data- I am an elitist using the best stuff out there. If I use other people's data ("Let's see what Adam can do with my light polluted images...etc etc)- then the data isn't perfect in organizati…
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Ok.. You are correct. I looked at the Luminance data and there is a difference in quality. And guess what... for the first #%#!! time in PixInsight history you are getting the REAL truth about the quality of the frames. I will make a video on this- …
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A few screenshots demonstrating what you did would be helpful.Sometimes people make the mistake of mixing filters during NSG for example. -the Blockhead
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Yes... for DSLR cameras "warm" pixels are indeed an issue.-the Blockhead
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I should add... you can make a video a "favorite" by clicking on the heart icon. Then, if you visit this video again you will see it is a favorite and you will know you have already watched it.-the Blockhead
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HI Bill, "Do you list all new material on the home page when you add video's?">>>Yes Are you planning to add more image sessions to Horizons.>>> Yes, I just did. NGC 3614 is a work in progress. -the Blockhead
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Sorry... above you mention not seeing things in the Control Panel. You will never see "Master Lights" in the control panel. This is output. If you checked both image registeration and ImageIntegration in WBPP, only then will "Master Lights" be outp…
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Correct. Normalization is a relative process. Changing the reference frame will, in general, not make a big difference. Without looking at your data, I cannot say if the answer is correct. It really should be though. Make certain you are using vers…
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Its complicated. The method I teach is the most flexible- there isn't a set recipe because it depends on the data. The logic is that brighter values lose color. The theory deals with color spaces and the math for how they are rendered on devices lik…