Re: Neat Video Reduce Noise Cs6 Keygen
Marika Posley
Neat Video is a powerful video filter plug-in designed to reducevisible pixel noise, grain, flicker and other imperfections. It is avery effective way to clean up video from any source including videocameras, phones, drones, film, CGI and more.
From experienced pros to passionate hobbyists, Neat Video is theultimate go-to for enhancing video quality. Whether you're aseasoned video editor or just starting out, Neat Video has got yourback. The denoiser is compatible with leading editing software packageslike Premiere Pro, Final Cut, and DaVinci Resolve (plus more than 20others). It's a must-have plugin for enhancing your videoprojects.
Neat Video employs an innovative noise-profiling approach together withsophisticated mathematical algorithms to transform noisy, grainy andflickering video into spectacularly smooth shots. Moreover, Neat Videodenoiser is engineered to take full advantage of the available CPU andGPU hardware so it works as fast as possible.
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Well, just in case you don't find the solution soon enough, consider using alternative denoiser. Nearly as good as NV, free, and it don't need GPU at all. Here: Free Video Denoiser. How to reduce video noise, remove grain, HQ noise reduction, tutorial - YouTube
So my work around in premiere pro is to send the clip in after effects using dinamic link and then payback or render the dynamiclink clip in premiere pro = it play and render smothlessly. Not ideal if you have many shoot to denoise but that the best work around I found so far.
A pattern I noticed throughout my tests was that practically every image that DeNoise AI was applied on had a few areas that were either completely smudged due to excessive NR or had too much noise due to no/low NR. My theory is that DeNoise AI sometimes fails to separate areas of detail and noise in the image. The problem with this is that there is no opportunity to manually reduce/apply NR in those areas; it can only be done by the software.
NI v8 is certainly pretty good at reducing noise, but the learning curve can be slightly steep. DeNoise AI, on the other hand, is much easier and also quicker. The main issue with DeNoise AI is the lack of user control over the noise reduction process, though. Considering your interest in photographing deep sky objects, I presume your primary consideration would be whether you require full manual control over the process vs. a simple, non-complex software that provides you with just a few basic NR sliders.
I recently heard about Neat Image via a tweet on Twitter. The tweet claimed that Neat Image was a great noise reduction tool. The Neat Image web site even mentions "astro" imaging. That caught my attention. I have tried using the native Aperture noise reduction but have always been disappointed with the results. So I had to try it out Neat Image. There are three versions of Neat Image: Demo, Home, and Pro. It is available in plug-in versions for Apple Aperture (Mac OS X) and Adobe Photoshop (Windows and Mac OS X), and standalone versions for Mac OS X, Windows, and Linux. Each version is described on a Neat Image feature map (link to the Mac standalone version). I downloaded and installed the Mac OS X standalone Demo version. (By the way, "Demo" is somewhat of a misnomer. The free "demonstration" version is fully functional, with only a few limitations.) I also downloaded the Quick Start Guide and User Guide from the Neat Image web site. Neat Image has these features (from the User Guide):
RAW images can be processed after they are converted to TIFFs (using TIFF is recommended to avoid quality loss due to compression) or to JPEGs (this involves quality loss, because JPEG is a lossy format).
As I do with all software (and hardware), I first read the documentation. It was cloudy anyway so this gave me an opportunity to learn the application. After reading the Quick Start Guide, I said to myself, "it can't be THAT easy". So, before delving into the User Guide, I had to try it myself. Since it was cloudy, I couldn't take any dark frames (which Neat Image can use) or new images, so I decided to use one of my older Nikon D7000 DSLR Deep Sky Object astrophotographs taken through my Meade 8" LX200-ACF as an example image. I selected an image of Centaurus A. This is the version I originally posted on my Cassiopeia Observatory web site. The raw image, 5 minutes, ISO 6400, had been edited in Aperture and saved as a JPEG.
There is a lot of noise in the image. I followed the five simple Neat Image steps: open image, use Auto Profile, use default Noise Filter Settings, Preview, and save the image, as seen in these screen shots:
Wow! Simple and yet extremely effective at removing the noise from the original image. Typically, post-capture noise reduction is done by blurring out pixels, which can reduce image sharpness. However, as you can see by looking at the stars, the sharpness has not been significantly impacted by the Neat Image noise reduction. If you find the sharpness reduced, you can use Neat Image to adjust the image sharpness. This is the filtered image with sharpness increased by 250% (the max available):
Based on these two simple tests, I knew that I had to read the User Guide to learn more about the power of Neat Image to remove noise in astrophotographs. If you want to go beyond the basics of using Neat Image for noise reduction, reading the User Guide is essential. It includes an excellent discussion of the theory of noise reduction and fully describes how Neat Image does its "magic". The User Guide also describes how it can be used to manually adjust the various settings to maximize the noise reduction without harming the look of your images. In fact, the Neat Image User Guide is one of the best software manuals I've read in a long time. Yes, Neat Image can work wonders automatically, but it can sometimes do even better with some assistance and the User Guide will help you do that.
Neat Image can automatically build a "profile" for your camera (or scanner) from information contained in the image file itself (using the EXIF metadata and image content). Auto-profiling will likely work well, but you can also build your own profiles (as discussed in the manual). There are pre-built profiles for many cameras available online. This page shows the profiles available for the Mac standalone version. However, these may or may not be ideal for your camera. For astrophotography, taking "dark frame" images at the same exposure settings and temperature (and power source) as the astro images will allow Neat Image to accurately determine the noise characteristics of your camera for those conditions. You then use the dark frame image to build the profile, which can be used on future images that match the exposure settings and conditions. Over time you can build up a library of profiles. One alternative to using a "dark frame" is to use the Neat Image built-in Calibration Target. However, this method is likely not ideal for long duration exposures with the camera mounted on the telescope. As seen earlier, another alternative to a dark frame profile is Auto Profile using the image to be processed; this can yield impressive results. Due to cloudy (and rainy) weather, I had to wait before I could do imaging with matching dark frames.
I received a license for the Mac OS X standalone Pro version from the Neat Image team at ABSoft. This allowed me to try out the expanded capabilities of the Pro version. In particular, this allowed the use of higher bit depth TIFF files as the input image and provided the most accurate camera profiling using dark frames. While waiting for the weather to clear, I processed many of the images previously posted in the Cassiopeia Observatory Photos albums using Neat Image. Even without dark frames for these older images, Neat Image cleaned up the noise that is apparent in the long exposure, high ISO images, making them look considerably better. Here is an example using one of my Comet McNaught C/2009 R1 images, taken in June 2010 with a Nikon D70 DSLR, 5 minutes, ISO 1600 (the highest ISO setting for the D70). Move your mouse on and off the image to view the original and re-processed images.
So, how was the improved image created? In Apple Aperture, I saved the original image as a full-size 16-bit TIFF. I then opened this TIFF image in the standalone Pro version of Neat Image. I did an Auto Profile and manually selected the best area on the image for profiling the noise. I made no other changes to the filter settings. In just a few seconds, the improved image was available and saved as a JPEG.
Some of the older images saved from Aperture did not have sufficient EXIF metadata for Neat image to determine a profile. However, using an image that did have metadata, I saved a profile for the old camera using Neat Image and then reused that profile when necessary. This demonstrates the capability of Neat Image to handle old images even when you no longer have the camera used for the photographs.
Here is another example of what Neat Image was able to do with my older images. This is galaxy NGC4725, taken March 2011, Nikon D7000 DSLR, 5 minutes, ISO 6400. Again, I saved the image from Aperture as a 16-bit TIFF. I also adjusted the color rendering in the final image to make it more realistic. Mouseover to see the difference.
Of the 46 Photo album images I reprocessed in Neat Image, most were dramatically improved by using Auto Profile with no manual adjustments. A few needed to have the profile selection area moved and a couple needed some further tweaking.
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