Despite my earlier critique, under this argument I do now see where this filter comes from, and I guess I am more appreciative toward it as well. Noiseware definitely is not at the “real time” level, yet it is still pretty fast. I guess the key aspect of the critique I gave is down to the point you made: “…that is able to run in real time (I found some other filters that were more effective, but could not be run in real time)” - this point I find very fair. The result I uploaded came from the Community Edition. Because the Community Edition, despite being old, does great job. I do admit that I was not sure about the open source part, just I thought it was. I choose it because, at the time, I found it to be the most effective free and open source filter that is able to run in real time (I found some other filters that were more effective, but c * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. * with FFmpeg if not, write to the Free Software Foundation, Inc., * You should have received a copy of the GNU General Public License along * GNU General Public License for more details. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * but WITHOUT ANY WARRANTY without even the implied warranty of * FFmpeg is distributed in the hope that it will be useful, * the Free Software Foundation either version 2 of the License, or * it under the terms of the GNU General Public License as published by * FFmpeg is free software you can redistribute it and/or modify * Copyright (c) 2002 Michael Niedermayer FFmpeg/FFmpeg/blob/master/libavfilter/vf_smartblur.c /* Regarding the current “Reduce Noise” filter, it is currently using the smartblur filter from ffmpeg. If you know where I can get access to the source, please do share. It appears to be a “pay only” product and the community edition seems to be very old. Unfortunately, I can’t find any source code releases for Noiseware. The results you posted to look compelling. I was not aware of Noiseware before you mentioned it. The source frame comes from your tutorial on video restoration, so that you can compare the outcome to what you can achieve using your current filter: Because of the community edition, which I think is based on open source libraries, I would like to suggest you consider this for bringing a truly spectacular noise reduction capabilities to Shotcut.Īttached please see a side-by-side comparison of a frame of footage before and after noise removal with Noiseware. This process is slow, and incorporates extra steps with 3rd party software included, but the outcome is absolutely worth all the hassle - the resulting denoised clips are just plain beautiful. I can export video clip as sequence of frames, batch process them with Noiseware, then import back into a video clip. Except for video production, where I started using the commercial edition because of batch processing. I am using the community edition, on Linux via wine. The tool is called Noiseware, and is available both commercially as well as for free as Noiseware Community Edition, which as far as I remember is also open source. I would like to share it here, because perhaps your development team (both R&D and the bizdev) could find a way to integrate this. I have been working with a 3rd party tool for noise reduction, that produces incredibly good results, fabulously good actually. But for now I decided to stick to my other workflow for noise reduction with a 3rd party tool. I will be looking forward to updates in the future versions of this plugin. Currently I will probably not consider using the plugin on most of my footage, except in perhaps special scenarios. I do not have image processing expertise in the area of noise reduction, so I can’t tell if the very algorithm used in this plugin has a potential for becoming better with more fine-tuning or not. Depending on the footage treated, it may produce visible improvement in quality on source footage with certain characteristics, but lot of times in my testing it was not producing satisfactory outcome, and I would eventually end up not using it. I honestly think this plugin at its current state is useful in a limited context. I want to share my (hopefully constructive) critique and a suggestion here. I have been learning this filter and experimenting with it yesterday for 2+ hours.
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