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  2. Comparison gallery of image scaling algorithms - Wikipedia

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

    The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

  3. Pixel-art scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

    Next, the rotated image is created with a nearest-neighbor scaling and rotation algorithm that simultaneously shrinks the big image back to its original size and rotates the image. Finally, overlooked single-pixel details are (optionally) restored if the corresponding pixel in the source image is different and the destination pixel has three ...

  4. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) 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.

  5. IrfanView - Wikipedia

    en.wikipedia.org/wiki/IrfanView

    IrfanView (/ ˈ ɪər f æ n v j uː /) is an image viewer, editor, organiser and converter program for Microsoft Windows. [5] [6] [7] It can also play video and audio files, and has some image creation and painting capabilities. IrfanView is free for non-commercial use; commercial use requires paid registration. [5]

  6. FastStone Image Viewer - Wikipedia

    en.wikipedia.org/wiki/FastStone_Image_Viewer

    Original logo of the software. FastStone Image Viewer is an image viewer and organizer software for Microsoft Windows, provided free of charge for personal and educational use. The program also includes basic image editing tools, [4] like cropping, color adjustment and red-eye removal. [5]

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks. [23] The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step ...

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