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  2. Edge enhancement - Wikipedia

    en.wikipedia.org/wiki/Edge_enhancement

    Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.

  3. 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 ]

  4. Fast approximate anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Fast_approximate_anti-aliasing

    The input data is the rendered image and optionally the luminance data. [3]Acquire the luminance data. [3] This data could be passed into the FXAA algorithm from the rendering step as an alpha channel embedded into the image to be antialiased, calculated from the rendered image, or approximated by using the green channel as the luminance data.

  5. Nvidia PureVideo - Wikipedia

    en.wikipedia.org/wiki/Nvidia_PureVideo

    Nvidia VDPAU Feature Sets [18] are different hardware generations of Nvidia GPU's supporting different levels of hardware decoding capabilities. For feature sets A, B and C, the maximum video width and height are 2048 pixels, minimum width and height 48 pixels, and all codecs are currently limited to a maximum of 8192 macroblocks (8190 for VC-1 ...

  6. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.

  7. 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. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] 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.

  8. A new lawsuit filed against Nvidia alleged that a file accidentally left on display by one of its employees during a video conference contains data stolen from the car tech company Valeo.. The ...

  9. Anisotropic filtering - Wikipedia

    en.wikipedia.org/wiki/Anisotropic_filtering

    An example of anisotropic mipmap image storage: the principal image on the top left is accompanied by filtered, linearly transformed copies of reduced size. Isotropic mipmap of the same image. Anisotropic filtering enhances texture sharpness, counteracting the blur introduced by mipmapping, a common anti-aliasing technique.