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  2. Image restoration by artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Image_restoration_by...

    Digital photograph restoration and colorization using artificial intelligence Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur , noise and camera mis-focus. [ 1 ]

  3. Video super-resolution - Wikipedia

    en.wikipedia.org/wiki/Video_super-resolution

    Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR) , the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency.

  4. Avidemux - Wikipedia

    en.wikipedia.org/wiki/Avidemux

    Avidemux is a free and open-source software application for non-linear video editing and transcoding multimedia files. The developers intend it as "a simple tool for simple video processing tasks" and to allow users "to do elementary things in a very straightforward way". [3]

  5. Watch this amazing AI-enhanced montage of Lumière films ...

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  6. Inpainting - Wikipedia

    en.wikipedia.org/wiki/Inpainting

    Image restoration and recolorization using artificial intelligence. Inpainting is a conservation process where damaged, deteriorated, or missing parts of an artwork are filled in to present a complete image. [1]

  7. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.

  8. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    The purpose of early image processing was to improve the quality of the image. It was aimed for human beings to improve the visual effect of people. In image processing, the input is a low-quality image, and the output is an image with improved quality. Common image processing include image enhancement, restoration, encoding, and compression.

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