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2. 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.

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. Noise reduction - Wikipedia

   en.wikipedia.org/wiki/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 rejection ratio.

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, [1] signal, [2] and video [3]. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).

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. Noise (signal processing) - Wikipedia

   en.wikipedia.org/wiki/Noise_(signal_processing)

   Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory .