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2. Noise reduction - Wikipedia

   en.wikipedia.org/wiki/Noise_reduction

   Noise reduction. Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode ...

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. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).

6. Background noise - Wikipedia

   en.wikipedia.org/wiki/Background_noise

   Background noise. motor sounds wave. Background noise or ambient noise is any sound other than the sound being monitored (primary sound). Background noise is a form of noise pollution or interference. Background noise is an important concept in setting noise levels. Background noises include environmental noises such as water waves, traffic ...

7. Total variation denoising - Wikipedia

   en.wikipedia.org/wiki/Total_variation_denoising

   This example created using demo_tv.m by Guy Gilboa, see external links. In signal processing, particularly image processing, total variation denoising, also known as total variation regularization or total variation filtering, is a noise removal process (filter). It is based on the principle that signals with excessive and possibly spurious ...