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  2. Image restoration by artificial intelligence - Wikipedia

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

    Nowadays, photo restoration is done using digital tools and software to fix any type of damage images may have and improve the general quality and definition of the details. Types of AI corrections [ edit ]

  3. Deep Learning Super Sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The transformer-based AI upscaling model introduced with DLSS 4 received praise for its improved image quality with regard to increased stability, reduced ghosting, better anti-aliasing, and higher level of detail, as well as its backward compatability and higher training scalability regarding future improvements.

  4. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    An image size can be changed in several ways. Consider resizing a 160x160 pixel photo to the following 40x40 pixel thumbnail and then scaling the thumbnail to a 160x160 pixel image. Also consider doubling the size of the following image containing text.

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image editing encompasses the processes of altering images, whether they are digital photographs, traditional photo-chemical photographs, or illustrations. Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs or edit illustrations with any traditional art medium.

  6. Pixlr - Wikipedia

    en.wikipedia.org/wiki/Pixlr

    Pixlr is a group of AI-powered SaaS creative tools including Pixlr.com, Designs.ai and Vectr.com. [1] Pixlr.com is a cloud-based set of image editing tools and utilities, including AI image generation and enhancements. The Pixlr suite targets users who require subjectively simple, or more advanced, photo editing as well as graphic design. [2]

  7. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred , or "unsharp", negative image to create a mask of the original image.

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