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  2. 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.

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.

  4. Noise (video) - Wikipedia

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

    Noise, commonly known as static, white noise, static noise, or snow, in analog video and television, is a random dot pixel pattern of static displayed when no transmission signal is obtained by the antenna receiver of television sets and other display devices.

  5. Image noise - Wikipedia

    en.wikipedia.org/wiki/Image_noise

    Noise clearly visible in an image from a digital camera. Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic noise. It can be produced by the image sensor and circuitry of a scanner or digital camera.

  6. Personalize your background image, sounds, and toolbar ...

    help.aol.com/articles/personalize-your...

    Personalize your background image, sounds, and toolbar appearance in AOL Desktop Gold. Access your settings to see several options that let you make it your own, such as updating the sounds that you hear, adjusting the colors used, and choosing from any of your own images or the vast Flickr library to personalize your background.

  7. 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).