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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. This technology has a wide range of ...

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

  4. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    All detection techniques are based on modelling the background of the image, i.e. set the background and detect which changes occur. Defining the background can be very difficult when it contains shapes, shadows, and moving objects. In defining the background, it is assumed that the stationary objects could vary in color and intensity over time.

  5. Picsart - Wikipedia

    en.wikipedia.org/wiki/Picsart

    Picsart develops mobile apps and web browser tools for editing videos and photos. The app and website tools support social networking activities. The features include an AI image generation tool which converts text into images, as well as a background eraser to erase unwanted objects and replace the background.

  6. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    In this work, it was shown how an attacker can automatically inject or remove lung cancer in a patient's 3D CT scan. The result was so convincing that it fooled three radiologists and a state-of-the-art lung cancer detection AI. To demonstrate the threat, the authors successfully performed the attack on a hospital in a White hat penetration test.

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