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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. Motion compensation may be used to avoid ghosting ...

3. 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 ...

4. 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 ...

5. Signal-to-noise ratio - Wikipedia

   en.wikipedia.org/wiki/Signal-to-noise_ratio

   Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. SNR is defined as the ratio of signal power to noise power, often expressed in decibels. A ratio higher than 1:1 (greater than 0 dB) indicates more signal than noise.

6. Noise (signal processing) - Wikipedia

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

   Noise (signal processing) In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. [1] Sometimes the word is also used to mean signals that are random (unpredictable) and carry no useful information; even if they ...

7. Peak signal-to-noise ratio - Wikipedia

   en.wikipedia.org/wiki/Peak_signal-to-noise_ratio

   Peak signal-to-noise ratio (PSNR) is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed as a logarithmic quantity using the decibel scale.