DeepSNR: New Free PI Plugin for Noise Reduction from the Creator of StarNet. You need this now!

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DeepSNR: www.deepsnrastro.com/
You are going to want to max out youtube's playback quality for this one to see the differences!!
From the creator of StarNet, new neural network based noise reduction. How does it compare to NoiseX? Do we even have to talk about GraXpert Denoise anymore??
Short answer, get this immediately! Even if you own NoiseX, you need this in your toolbelt!!!
For those asking about why not move the "Detail" slider on NoiseX. That is just an unsharp mask, it doesn't recover lost detail. I made a webpage to show that: www.setiastro.com/deepsnr-com...
Comments and Suggestions Appreciated

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Опубликовано:

21 июл 2024

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Комментарии : 81

@setiv2 19 дней назад

You are going to want to max out youtube's playback quality for this one to see the differences!! Also if you are wondering why not increase the "Detail" slider on NoiseX. That is just an unsharp mask, it doesn't recover lost detail. I made a webpage to show that: www.setiastro.com/deepsnr-comparison

@Aerostar509 19 дней назад

I just tried DeepSNR on a simple RGB combo image and it completely removed the R,G and B hot pixels on a dithered, non calibrated channel combined image! Amazing.

@FrancoGrimoldi 19 дней назад

What about rising the "Detail" slider on NoiseX to try to match the detail retention while keeping the same level of noise reduction?

@setiv2 19 дней назад

The detail slider is just an unsharp mask, it doesnt recover lost detail. I made a webpage to show what changing the "Detail" on NoiseX does www.setiastro.com/deepsnr-comparison

@FrancoGrimoldi 19 дней назад

@@setiv2 Exactly what I was looking for, thanks for the effort, much appreciated!

@rocketcityastro 19 дней назад

If it's free it's for me. Thanks for another great video.

@dominickzaucha 18 дней назад

Thanks for checking this one out! With regards to your pinwheel, do not do blurx/convolution before deepsnr, that's why you are getting those artifacts. Your results will be just as good as the others if you do deepsnr first. The software author suggests doing deepsnr as one of your first processing runs for best results.

@setiv2 18 дней назад

@@dominickzaucha i dont think that was the issue with the pinwheel. I can do some more testing specifically on that one. Regarding blurx though you need to run that before any noise reduction. It is important since blurx is teasing out structure from the noise. If you get rid of the noise first bkurx cannot get its best results.

@dominickzaucha 18 дней назад

@setiv2 I agree with that, except with deepsnr. It needs to be run early like step 2. I may have misinterpreted it along the way as well. It's just that I have the same exact noise pattern running blurx first.

@setiv2 18 дней назад

I did the test. BlurX doesn't affect DeepSNR at all. I figured it wouldn't since BlurX doesn't mess with the noise (which is what makes it so amazing). You can see the comparison on my site: www.setiastro.com/deepsnr-comparison#deepsnrbxt

@dominickzaucha 17 дней назад

@setiv2 thanks for the heads up! I'm going to have to do a few steps back and see why mine is doing the hallucinating.

@dominickzaucha 12 дней назад

@@setiv2 Going back into further testing i think i found the culprit. DeepSNR only works well on 1x drizzled data in my case drop shrink 0.8 and Varshape 1.5 in WBPP. 2x/ or no drizzle etc all cause hallucination issues or poor noise reduction. The noise reduction on 1x data is stunning, I'm slowly reprocessig all the old stuff that I still have stacks of

@tomhoskins4913 14 дней назад

I followed the instructions exactly, it installed perfectly and I have the latest version of Pixinsight. The process showed up . I ran it on an image and the it executed perfectly according to the process console. One problem, it did notion to the image, it remained the same with no change at all. I did have an existing file for tensor flow in my bin folder already. I even swiped it out for the one DeepSNR provided. No help I reverted back to my existing tensorflow

@setiv2 14 дней назад

Interesting. Could you share the image it wasnt working on? frank@setiastro.com

@Zegery 12 дней назад

must be run on 16 bit images or it will not work. save it as 16 and it will work

@qx3V45p 19 дней назад

Works amazingly well and leaves all that small detail! Some reason it's very slow on my rig- 2 minutes to denoise an image. Graxpert DeNoise and NoiseX only take seconds. Not sure the issue. Hopefully I can get it to run faster!

@setiv2 19 дней назад

What kind of computer do you have? Maybe on a mac it doesnt use the unified gpu acceleration.

@qx3V45p 19 дней назад

@@setiv2 Windows 10- Ryzen 5 5600X and Vega 64 gpu. Kinda old but still works very well . StarX utilizes GPU very well with an older version on Photo Shop. Newer version installed on PI doesn't :/.

@qx3V45p 19 дней назад

@@setiv2 The CPU supports AVX.AVX2 instructions

@setiv2 19 дней назад

@@qx3V45p can your gpu enable cuda acceleration? That is the only way I know of getting PI processes to be GPU accelerated. If blrux and noisex in PI are accelerated so should deepsnr. I am not familiar with Vega GPU

@qx3V45p 19 дней назад

@@setiv2 It's an AMD GPU so no CUDA. NP my friend, I'll look into it. Thanks for everything and all your hard work creating your great scripts and vids!

@walterhock7809 19 дней назад

It's a fantastic tool, definitely! But there is a substantial speed problem with my (intel i7, 2021) iMac (Sonoma 14.5). NoiseX takes 12sec, DeepSNR 8min(!) Installation was no problem, copied the two files into /bin and the recommended other 2 into /framework. Is there any remedy to speed things up?

@setiv2 19 дней назад

On a mac noisex uses your unified memory and gpu, sounds like deepsnr is just using your cpu. I dont have a mac, so for me it uses my cuda acceleration. You may want to reach out to the developer and see if there is a remedy for gpu acceleration or if there is a install step missed.

@walterhock7809 18 дней назад

@@setiv2 I'd like to. But can't find the developers address.

@setiv2 18 дней назад

@@walterhock7809 go to their website, they have a contact me page.www.mikitamisiuraphotography.com/contact

@biodan8577 16 дней назад

On a M1 Max running Sonoma, it does not install- will send this error to the developer > PixInsight Core 1.8.9-3 Ripley (x64) (build 1612 | 2024-06-25) Installing 1 module(s): /Applications/PixInsight/bin/DeepSNR-pxm.dylib *** PixInsight API Error: Module: /Applications/PixInsight/bin/DeepSNR-pxm.dylib: Module initialization error: Exit code: 1 ** Warning: No modules were installed.

@walterhock7809 14 дней назад

@@biodan8577 I'm not an expert, but there indeed may be an issue with DeepSNR-pxm.dylib. There is a question mark in the process control aside this module, all others have a green star. Again: It works, but extremely slow.

@easyastroimages5818 19 дней назад

Damn. You don’t know until you know. The detail slider never seemed to do what it should on noise x

@setiv2 19 дней назад

Detail slider on NoiseX is just an unsharp mask, it doesn't recover lost detail. I made a quick site so you can see the differences: www.setiastro.com/deepsnr-comparison

@jimcollins1922 18 дней назад

Looks great and I tried to install it on my M3 MacBook pro and it will not install because the M3 does not support AVX. To bad because it looks great!

@setiv2 18 дней назад

Time for an upgrade! PI v1.9 will require AVX2

@jimcollins1922 18 дней назад

@@setiv2 Doesn't sound like a good economic decision if pixinsight won't support Apple PCs. I doubt that pixinsight will not have a solution to continue supporting apple. If they don't there will be a lot of ticked off users.

@robj144 17 дней назад

Wasn't this released a couple of years ago?

@bezain7663 18 дней назад

Interesting I gave it a try . Smoothing is not so waxy compared to NXT, and that's a good thing. Unfortunately, it gave me some weird artifacts, like pure red or yellow hit pixels in the core of saturated stars

@setiv2 18 дней назад

Do you own blurx? If so you can run that on correcr only see if that fixes those pixels. Other option if it seems really bad 8s remove the stars first prior to running deepsnr

@mickwhitaker4086 19 дней назад

struggling to get this plug in on my Mac, done everything stated , but getting error in pixinsight .

@setiv2 19 дней назад

There were a couple of options depending on what version of PI you have. Did you download the correct one to match your version of PI?

@mickwhitaker4086 19 дней назад

@@setiv2I have the new version of pix. It’s showing up on the install module tab but when I press install it comes up with an error.

@setiv2 19 дней назад

Did you grab the correct download? I also am running with the newest build of PI. What is the error you are getting? Did you get the one with the tensor flow file or not?

@mickwhitaker4086 19 дней назад

@@setiv2 with the tensor flow files. *** PixInsight API Error: Module: /Applications/PixInsight/bin/DeepSNR-pm.dylib: Module initialization error: Exit code:1 ** Warning: No modules were installed.

@mickwhitaker4086 19 дней назад

Yes with the tensor flow files. The error message is as follows. Installing 1 module(s): /Applications/PixInsight/bin/DeepSNR-pxm. dylib < failed *> PixInsight API Error: Module: /Applications/PixInsight/bi0/Deeps.R-pxm. dylib: Module initialization error: Exit code: 1 ** Warning: No modules were installed.

@baa-austria 19 дней назад

Tried to install on Mac Mini M2. put the desired files into bin. The libtensor* into framework (AFTER ALLOWING execution!). Then executed ADBE and got mallocation error... Trying to use the alias pointing to the newer libtensor* - this does not work. So - the installation process of this tool will have potential and quality check also using the more recent lebtensor* from PI... Anyway - referring to the absolute ingenious ADBE some of us would be VERY happy since for example EZ denoise would get some "service" since it works without AI... (it is just a great dream ;-) )

@setiv2 18 дней назад

I am not very familiar with mac's. Since StarNet and tensorflow libraries are native in PI you should be following the process for "Already Have StarNet". Maybe that will resolve your issue. Otherwise you can reach out to the developer. I never used the EZ suite. Is the repository still up? If he isn't updating those scripts anymore maybe I can take a look at the EZ denoise.

@jimcollins1922 18 дней назад

According to the readme text with it, there is a dependency on AVX and it appears that AVX is not supported on the Apple silicon. I tried installing it on my M3 and it would not install. Too bad.

@setiv2 18 дней назад

@@jimcollins1922 maybe time for an upgrade! PI v1.9 will require AVX2

@jimcollins1922 17 дней назад

@@setiv2 Looks like operator error on my part. I downloaded the wrong version. FYI The apple silicon macs are the latest macs and they don't support AVX but pixinsight uses apples graphic service which I believe is called Metal.

@biodan8577 16 дней назад

On my M1 Max, while DeepSNR would not install, the libtensorflow* libs did not affect the ability of ADBE nor BlurX/NoiseX to run

@AmatureAstronomer 19 дней назад

Interesting.

@AstroIsland 19 дней назад

Wow! RC has some stiff competition now. All that’s missing now is a BlurX alternative 😬

@setiv2 19 дней назад

Russ needs to get on that new noise AI weighting update!!

@JLCubing 19 дней назад

for deepsnr to work good u need to properly 1x drizzle so thats why it prob didnt do good

@setiv2 19 дней назад

I always drizzle, not sure what you mean didnt do good, it beat noisex for almost all rgb images

@JLCubing 19 дней назад

@@setiv2 I think I have bad eyes then my bad, but for me I still get some weird artifacts after using deepsnr

@captaincook6666 19 дней назад

Wish I'd not paid for NXT!

@setiv2 19 дней назад

You still need it for greyscale and off the wall narrowband, but RC needs to step their game up quickly!!

@captaincook6666 19 дней назад

@@setiv2 also I like the linear option...I read that NXT is meant to be for non linear is that true?

@setiv2 19 дней назад

You heard very wrong. NXT is for linear data. It was even trained on linear data in the ai2. Ai1 was trained on nonlinear, but it did a 64bit internal stretch then denoise then stretch back to linear. Either way NXT is supposed to be used with linear data

@setiv2 19 дней назад

All of RC astro tools work best on linear data, blurx, noisex, and starx

@captaincook6666 19 дней назад

@@setiv2 ok I use bxt on linear. I don't have StarXT. I've been getting good results with NXT in any case...

@nikaxstrophotography 19 дней назад

Well the installation process is what kills it for me, there must be a simpler way than this.

@setiv2 19 дней назад

This is how you install StarNet++ and a few others. That is why I covered it if you werent familiar with installing a standalone process. Since I am not the author I cant add it to my repository. you can reach out to the creator if you are hoping they can do a repository or something.

@vastrop345 19 дней назад

You can use RCAstro Cuda/Tensorflow GPU acceleration repository (as detailed on the Pixinsight forum). That should set up your system, assuming you have a supported NVIDIA GPU, for GPU acceleration. Once this step is complete, copying two files (the dll and the weight files) to the Pixinsight bin directory and importing the process is all you need to do. Feedback about that method seems positive on the Pixinsight forum. I haven't tested it directly myself as my system is already set up for multiple CUDA versions.

@setiv2 19 дней назад

You dont need to do the cuda set up. PI has a native cpu tensor flow dll. You really have to just drag and drop those two files. If you want to do cuda setup then yes Russ has a repository for that portion, but technically it isnt needes to run this.

@vastrop345 19 дней назад

@@setiv2 yeah, I know that but couldn't imagine someone finding the copying of two files being a killer. That being said, IMHO; you really want GPU acceleration, especially if ones want to compare results and experiment with different settings.

@setiv2 19 дней назад

One persons simplicity may be anothers complexity... 100% agree if your system supports gpu acceleration you need to unlock that power!!