#NEAT VIDEO VS DENOISER II SOFTWARE#
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.
#NEAT VIDEO VS DENOISER II ISO#
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? Once you've chosen your sharpening and noise reduction settings, click Apply.Topaz Labs have recently introduced a suite of artificial intelligence (AI) powered post processing software to help photographers get the most from their images. When it comes to filtering, you've got to make your own decisions. We can remove that by dialing back the Mids, even though we lose a little sharpness in the face, so everything is a balance. Now, you'd want to review these adjustments in Normal mode to verify that you didn't create artifacts like the haloing around the speaker's head, as shown in Figure 16 (below).
If we adjust the Low, as shown in Figure 15 (below), we get the same thing: a sharper image without creating any additional artifacts.įigure 15. If we boost sharpness in the Mids, we increase sharpness without creating any obvious artifacts, as you can see in Figure 14 (below), which is a beneficial adjustment.įigure 14. In this example, if we sharpen the High regions to the max, we don't create any artifacts in the background that aren't already there, but we don't make it look much sharper either. Whenever adjusting Sharpening, you want to sharpen the ut increasing artifacts in the background. You can adjust the spatial frequency of the noise in all three of these channels in the high, low, and mid. But you might be able to get a little bit sharper video if you adjust the Cr and Cb channels manually.
This is the Conservative option ( Figure 13, below). With the sharpening options that I chose earlier-the Filter and Sharpen preset-sharpened only in the Y channel, not the Cr and the Cb. One view, shown in Figure 12 (below), is the YCrCB view, with Y in the upper right, Cb in the lower right, Cr in the lower right, and the Original in the upper left.įigure 12 (below) shows the four-part split-screen preview. In this case, the Noise Reduction settings look fine, so let's adjust Sharpening.The filter provides several useful views for that, which you can choose via a control in the lower left hand corner. It's reducing only 60% of the noise in the Y channel, which is necessary to avoid giving your subjects a plastic-type look. In this example, we're already seeing that the filter is reducing the noise 100% in the three spatial frequencies-high, mid, and low-shown in Figure 8 ( on page 2 of this article). You might find that you want to mess a bit with the noise reduction amounts-that is, how much of the noise is actually eliminated-and the sharpening results. Adjusting Noise Reduction and Sharpening Amounts