The first image is processed in Registax 6, with my usual wavelet scheme, the second in Astra Image Plus 4.0. The latter with Lucy Richardson deconvolution 1.5 pixel Gaussian kernel and some 100 iterations with strength of 1.7 or so. I applied a gamma of 0.75 as well. The deconvolved image is clearly sharper, but the contrast of the finer detail is less strong (more natural, really)
I would also suggest that you knock the bottom three or four Wavelet sliders over to the far left and use only the top two small radius sliders , with a gentle touch , to bring out the finer detail , the bottom large radius controls ruin many of the images I see posted across various sites .
Astra Image PLUS 5.5.3
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I wasn't being clear. I typically use a base scheme as starting point, and tweak that until it is (visually) optimal. I do notice I rarely deviate very much from the base settings I stored. That is what I meant by usual wavelet scheme. I actually find my few white-light images require more experimentation than my H-alpha.
The latter is perhaps a bit too strong. Incidentally, the image processing toolbox in MatLab does support LR deconvolution, so I might well see if I can write a script to do the deconvolution of all the panes
Astra Image is a fully featured application for doing advanced image processing. It is commonly used for astronomical and other scientific images, remote imaging, microscopy, as well as every-day photos. Astra Image combines many powerful features in a single, easy-to-use application. Some of the core features are also available as Adobe Photoshop plug-ins.
Hi all,
I bought myself AstraImage 4.0 Studio Plus last night with the aim of using it to process my Lunar & Planetary images. It's capabilities look a lot better than Registax wavelets so thought I'd give it a shot as it's 30 day money back guaranteed.
Problem is, I've been fiddling & I'm not entirely sure how to use it. Anyone know of any up to date tutorials for lunar/planetary work with the software? All the ones I have found have been for older versions.
Many Thanks.
The sheer number of options is bewildering. I find that deconvolution for sharpening is the best one for lunar/planetary. Choose it and then move to find the most detailed part of your image. Click 'preview' and either switch between before and after or use 'split' to see the effect. You need to click preview whenever you change the settings (unlike in some other dialogues in Astra.)
Adjust the sliders, starting with kernel size (you want this to match the scale of 'blur' in the image, 1.4 is good starting point). Then adjust strength and iterations (this last one applies the process multiple times). Preview after every change!
I find it is best to increase a parameter until artefacts become visible such as pixelation of drizzled images, dark lines inside the edge of planets or light ones around them. Back off and try another parameter. You may find that the process reveals tears of lines on the image - stacking artefacts. You may choose to go back to your stacking program and try a different number/size of alignment points.
Be aware that you may not get miracles at this stage, although hidden detail will start appearing in most images. Once you are satisfied, don't be. Use these settings with some of the other methods/kernels - they may well give you a more natural looking result, that may stand a bit more sharpening.
It's worth looking for small features (small craters/rilles on the moon, white storms on Jupiter) and areas of high contrast (edges, crater rims) that allow you to easily compare effects between different settings. Once happy, preview different areas of the image to check its OK.
Just play with the three scale sliders, bearing in mind that the small scale one will make most images much noisier, and large scale can be horrible if overdone - I usually put only 1 or 2 at large scale, but the small and mid scale sliders can be past half way across.
Inspired by Darryl who mentioned in another thread he never uses saved wavelet settings in Registax, I decided to revisit my most recent Jupiter image of May 7th and try something completely different. I had been a little nonplussed by the results I had been getting recently using the same (or very similar) settings in Registax, which were producing images that were very similar to previous ones that I wasn't particularly happy with either.
So I decided to make a change and do (almost) everything in Astra Image, starting with Lucy-Richardson deconvolution, then wavelet sharpening and finally a bit of denoise. I then took that result into Registax, but only for the colour balance (red 100, green 100 & blue 110) to keep in line with my previous colour balance efforts (I will work on this). I then took this image into PhotoShop and it certainly needed a lot more work than I would normally do (especially with extra denoise and blur), but the resulting image was certainly worth the effort.
The real difference I think was the use of deconvolution prior to using wavelets (or maybe it was the denoise)- with Registax I only have wavelet sharpening available and I think I'm overdoing the denoising. With the AI image I had to do more noise reduction and blurring in Photoshop, maybe I could produce the same effect in Registax. I'll look into it.
I'm not sure what c/width is in deconvolution (as there was no label in AI like that), but after trying a lot of different settings I found one that provided good sharpening levels with virtually no added noise. The wavelet sharpening really added the noise which took a bit of time in Photoshop to remove (see below, where the image on the right has got deconvolution and wavelet sharpening)). Maybe I was a bit heavy handed with the wavelets, it's so hard to strike a balance. Maybe I didn't even need the wavelet sharpening at all, I could have done the fine tuning in Photoshop?
With the orientation & different processings I'm finding it difficult to be certain the basic image is the same as the one in your first post but I "think" it is & it does look "softer" than the first one...but if I'm wrong it just goes to show my real credentials..!
The degree of spreading (blurring) of the point object is a measure for the quality of an imaging system. In non-coherent imaging systems, such as fluorescent microscopes, telescopes or optical microscopes, the image formation process is linear in the image intensity and described by linear system theory. This means that when two objects A and B are imaged simultaneously, the resulting image is equal to the sum of the independently imaged objects. In other words: the imaging of A is unaffected by the imaging of B and vice versa, owing to the non-interacting property of photons. In space-invariant system, i.e. the PSF is the same everywhere in the imaging space, the image of a complex object is then the convolution of the true object and the PSF.">
For my money just experimenting with the different curve-widths & examining the effects on the finest level of detail in your image in the preview window will quickly show you the best parameters for the most effective deconvolution. (there's an animated gif there displaying various Lucy-Richardson settings...the scale/size of your image has an effect upon the value of c/w but you quickly become familiar...
Yes, it's the same image, it has only had the sharpening steps applied, before colour correction and taking it into Photoshop for a rotate, levels adjustment, brighten, saturation increase, denoise, blur, ring reduction etc and final resize.
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