![]() My experience with this software has been nothing short of amazing and I wanted to test it against other well regarded noise reduction software. If you want to learn more you can check out DeNoise AI at the Topaz Labs website. ![]() Time well worth it to clean up noisy images in my opinion. On my 2018 MacBook Pro with a Radeon Vega 64 graphics card connected via an eGPU, a 24 megapixel image takes around 30-40 seconds to fully process. The downside to the software that runs off AI is that it requires quite a bit of processing power (or time) to process an image. It then uses these models to analyse your photo and produce the best noise-free image it can. The software has been fed many thousands of images in order to be trained on what a ‘good’ image looks like vs a bad one. Topaz Denoise AI uses a machine learning algorithm in order to learn the difference between unwanted noise and important image details. Noise reduction works differently in each application, but basically it has to isolate the noise from the actual image data and reduce it’s appearance by replacing or blending the noise data to match the actual image.īad noise reduction software will often have trouble separating actual image detail from the noise and will end up blurring or removing important parts of the image in the process of noise reduction. Noise reduction software aims to reduce the amount of noise present in the image while retaining the detail in the important parts of your image. Even some low ISO photos can exhibit high noise levels if they are highly processed in Photoshop (or similar). However, as ISO values increase, this noise can become problematic and start to negatively affect the look of a photo. At moderate values the noise is usually not objectionable and will likely not be visible on a standard sized printed image or if the image is downsized for web use. This amplification makes your image brighter, but also amplifies digital noise. If you’re already familiar with noise reduction software you can skip this and the next section and go directly to the test results.Īs you increase the ISO values on your camera the signal (light) that is captured is amplified. My experience with Topaz Denoise AI has been nothing but positive so I thought I would compare it to the other noise reduction software currently available.Ĭheck out Topaz DeNoise Now What does noise reduction software do? You can download the test sheet from thier website and take a picture of it with your camera at different ISO's, add your capture sharpening to your test sheet images, and then you can install them and use them as your new profiles.Topaz Labs have recently introduced a suite of artificial intelligence (AI) powered post processing software to help photographers get the most from their images. You can also build your own camera profile, say for instance, you like to add capture sharpening to all of your images before noise removal. I noticed that certain images that have alot of fine detail and not enough large areas can sometimes throw off NR programs when they try remove noise by taking "sample areas" I like the idea of using a set profile to run batches because of the consistency. You can also just let the program sample the image itself and remove noise that way. If the image was altered: it has some kind of low level detection system that will notice this and choose a profile that better suits the job, such as a profile with a higher noise setting for images that have been sharpened. It's nice that Ninja has the camera profiles and it will speed up batch processing if you use them, but I wonder how effective they are on an image that is altered in RAW before conversion. These are the two test images, they were converted from RAW to JPG with no sharpening or NR. I am sure if you were to tweak each image individually, better results could be had. It is my understanding that the Noiseware Community Edition uses the same algorithm as the Noiseware Pro version, so it should be a reasonably fair test? The settings on both of these programs are what would probably be used to run a batch. I set the Noise Ninja to auto profile loading, and Noiseware was set to automatically profile the image. It does have a powerful and reasonably fast batch capability, and you can run all sorts of images through in the same batch it no matter what the ISO or crop is.īelow, I have done a small comparison of Noise Ninja and Noiseware Community edition (which is another popular program). Like some other programs, it also compensates when you have cropped or sharpened an image. It works a little differently than most noise reduction software it gives you the option to use a profile specific to the characteristics of your camera at a given ISO (this makes a lot of sense to me). After doing a little bit of research in trying to find a good noise reduction software, I purchased the Pro version of Noise Ninja.
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