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After taking some feedback from my last attempt I decided to start fresh with a new data set https://www.astrobin.com/20t4vd/ I think I over did the saturation a bit, but I liked the way it looked and some feedback from my first attempt said it lacked color. Anyway hit me with the good the bad and the ugly. TIA |
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Hello Kevin, To me, if there is a problem ("the bad") in this image, it would be that you might be expecting a level of resolution that is not going to be there at 350mm ... especially in a galaxy with such a diffuse appearance (even at greater image scales). Otherwise, color is largely subjective. Your core is bright, but has a nice "glow" to it. I'm not sure you could have coaxed much more out of the data? Congratulations, Jay |
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Hi Kevin, I would tend to agree with @Jay Hovnanian in that you may be expecting too much for a 350mm focal length image. I do tend to think that the saturation is a bit over done but again reiterating what Jay said thats kind of a personal thing. As far as color goes how did you color calibrate the image? If you can use SPCC in Pi it would be a very accurate color rendition. Nice work! Dale |
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It seems pretty purplish to me so working on the color balance to reduce that would be what id work on. I havent seen the original so not sure what your processing was, but using or redoing the star color and maybe followed by color balance adjustments in photoshop? Colr is always challenging for me on these galaxies. Using pixinsight has helped with that for me with their new spcc process. Keep at it! 👍
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Kevin Knight: Hello Kevin, I think this looks much better, maybe a tad bit on the blue channel could be pulled back but certainly much better than your 1st attempt and I like the more fov to btw! As for handling multiple night subs, in WBPP just load all your light frames in like your normally would. You shouldn’t need to do anything different in the way of darks, bias’s or even your flats unless you remove your camera from the imaging train, or change filters. Not sure what your referring to in the way of reds, and purple, but if I’m understanding you correctly when you see the magenta/purplish colors in some cases this is done thru adding Ha to an image. Sometimes if the blue channel is on the strong side it can cross over into the red channel and the 2 combined kinda will give you that magenta look to the image. I have been wanting to get the Redcat71 setup myself. While your setup may not be suited for “portrait” versions of galaxies (an exception might be M31 & M33) a larger grouping would make wonderful targets! Just a few suggestions Kevin, shoot M81/82 M31, Markarians Chain, the Leo Trio M65,66 & NGC 3628 would be a wonderful target with your setup. Here are some similar images I have although most are in the 480mm range. M31: https://www.astrobin.com/pf1t0q/F/?nc=&nce= M81/82: https://www.astrobin.com/s4fa40/C/?nc=&nce= I also think that large open clusters would be beautiful as well. The double cluster in Perseus, The Coathanger, M44 the beehive etc… Hope this helps! Dale |
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Kevin Knight: I suppose I maybe should have clarified, since you're asking about the reds. My image was shot in mono with Ha addition. I was merely trying to show you the detail you can achieve at that focal length. A lack of Red, or Ha data is a downside that you will always have with a color camera. The Bayer matrix only allows you to grab one red pixel out of every 4, 2 pixels of green, and 1 for blue. This is why (most) color cams are debayered as RGGB. Mono efficiency will far surpass color any day. This doesn't mean you can't still get the reds, but it's going to require a substantial amount of integration time and dithering to achieve it. Also, that RGGB matrix is why (you've probably noticed) your images will appear very green until they are color calibrated. I have two versions of M101 in my gallery, one with the 70mm and narrowband, the other is taken with a color cam and a longer focal length. Feel free to check them out and you'll see a major difference. As for color manipulation, after you've color calibrated your data and stretched it, try not changing the RGB curves individually. This messes with the color balance. Instead try simply boosting the C (color) curve. From there you can use SCNR mildly to tone down on the green overpowering the image. This will again balance it out. By that point you should see an image roughly resembling what most of us produce. It will always lack red and blue, so this is why integration time is important. From there you can use subtle curve changes to enhance your red and blue but chances are it will become noisy rather quickly. Lastly, apply a super STF stretch, then use histogram with live preview to adjust your black points so the background is neutral after any color curves. This is pretty much the cliff notes version of how I handle OSC (color) data. There is much more, like denoise, decon, etc but it's too much to explain right now. |