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  2. Video Super Resolution - Wikipedia

    en.wikipedia.org/wiki/Video_Super_Resolution

    The feature was first unveiled during CES 2023 as RTX Video Super Resolution. [3] The feature uses the on-board Tensor Cores to upscale browser video content in real time. [ 4 ] The feature is currently only available on RTX 30 and 40 series gpus with support for 20 series gpus coming in the future. [ 5 ]

  3. Video scaler - Wikipedia

    en.wikipedia.org/wiki/Video_scaler

    An enlargement of a small section of a 1024x768 (VESA XGA) resolution image; the individual pixels are more visible in its scaled form than its normal resolution.A video scaler is a system that converts video signals from one display resolution to another; typically, scalers are used to convert a signal from a lower resolution (such as 480p standard definition) to a higher resolution (such as ...

  4. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [5] At that time, the results were limited to a few video games, namely Battlefield V, [6] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.

  5. Comparison gallery of image scaling algorithms - Wikipedia

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

    Simple Fourier based interpolation based on padding of the frequency domain with zero components (a smooth-window-based approach would reduce the ringing).Beside the good conservation of details, notable is the ringing and the circular bleeding of content from the left border to right border (and way around).

  6. waifu2x - Wikipedia

    en.wikipedia.org/wiki/Waifu2x

    waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos. [1]waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN).

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