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2. 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 ...

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. 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 ...

5. 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: Window Selection: Choose a window of a specific size (e.g., 3x3, 5x5) centered around the pixel to be filtered.

6. 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 ...

7. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...