Magic Kernel Sharp is an advanced image resizing algorithm that grew out of the discovery of a 'magic' kernel, which interpolates weights for image doubling with remarkable clarity. Subsequent refinements and analyses over the years, including Fourier analysis, have shown that the Magic Kernel Sharp algorithm is superior to traditional methods like the Lanczos kernel, offering better quality and efficiency. It has been widely deployed in platforms like Facebook and Instagram, providing high-quality image resizing with greater CPU and storage efficiency.
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Applications using Magic Kernel SharpResearch paperWhat is “the magic kernel”?1982–2006: Prehistory2006: “ ‘Magic’ kernel for image zoom resampling?”2006: Why is the “magic” kernel so good?2011: The Bloom factorization2011: The Magic Kernel is born2013: Magic Kernel SharpPracticalities: How Magic Kernel Sharp 2013 is used to resize images2014: Using the Magic Kernel to blur an image2015: Mathematical properties of the Magic Kernel Sharp 2013 kernel2015: Magic Kernel Sharp+2021: Refinement of Magic Kernel SharpPractical implementation of Magic Kernel Sharp 2021Magic Kernel Sharp+ 2021Magic Kernel Sharp downsizing with hardware-assisted library limitationsSo what are the Magic Kernel Sharp 2021 doubling and halving kernels?More practicalities: edge effects2021: Beyond Magic Kernel Sharp2021: Reference ANSI C implementation of Magic Kernel SharpApplication of Magic Kernel Sharp to 3D volumetric dataOther image processing resourcesAppendix: 2021: Audio applications of Magic Kernel SharpDisclaimersSort: