enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Noiseware - Wikipedia

   en.wikipedia.org/wiki/Noiseware

   Noiseware is an image noise reduction software by Imagenomic. It is available for Adobe Photoshop, Photoshop Elements, Apple Aperture, Microsoft Windows (stand-alone) and iOS. [1] In addition to the paid Noiseware 5, an older version (2.6) is available as a free-to-use "Community Edition". Noiseware is described as "self learning", meaning it ...

3. Hate background noise during video calls? Krisp is the ... - AOL

   www.aol.com/hate-background-noise-during-video...

   TL;DR: Banish background noise with the Krisp AI-powered noise cancellation app. As of Aug. 5, try Krisp for free with 240 minutes per week of microphone and speaker noise removal.For obvious and ...

4. Video denoising - Wikipedia

   en.wikipedia.org/wiki/Video_denoising

   Video denoising is the process of removing noise from a video signal. Video denoising methods can be divided into: Spatial video denoising methods, where image noise reduction is applied to each frame individually. Temporal video denoising methods, where noise between frames is reduced. Motion compensation may be used to avoid ghosting ...

5. Compression artifact - Wikipedia

   en.wikipedia.org/wiki/Compression_artifact

   Compression artifact. A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression. Lossy data compression involves discarding some of the media's data so that it becomes small enough to be stored within the desired disk space or transmitted ...

6. Krisp - Wikipedia

   en.wikipedia.org/wiki/Krisp

   Krisp's main product is a software application that can remove background noises and voices from audio in real-time. The software uses machine learning algorithms to analyze the audio signal and separate the speech from background noise, allowing the speech to be output in clear, noise-free audio. This technology has a wide range of ...

7. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   The median filter operates by considering a local window (also known as a kernel) around each pixel in the image. The steps for applying the median filter are as follows: Choose a window of a specific size (e.g., 3x3, 5x5) centered around the pixel to be filtered. For our example, let’s use a 3x3 window.