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  2. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling. In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement. When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric ...

  3. 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).

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  5. List of common display resolutions - Wikipedia

    en.wikipedia.org/wiki/List_of_common_display...

    16:9. 8,294,400. 7680 × 4320. 8K UHDTV. 4320p. 33,177,600. Many of these resolutions are also used for video files that are not broadcast. These may also use other aspect ratios by cropping otherwise black bars at the top and bottom which result from cinema aspect ratios greater than 16∶9, such as 1.85 or 2.35 through 2.40 (dubbed ...

  6. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    Structural similarity index measure. The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as other kinds of digital images and videos. It is also used for measuring the similarity between two images. The SSIM index is a full reference metric; in ...

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    Deep learning super sampling (DLSS) is a family of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available in a number of video games. The goal of these technologies is to allow the majority of the graphics pipeline to run at a lower resolution for increased performance, and then infer a ...

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