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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. ImageMagick - Wikipedia

    en.wikipedia.org/wiki/ImageMagick

    Transform: resize, rotate, crop, flip or trim an image. (Applies these without generation loss on JPEG files, where possible.) Transparency: render portions of an image invisible. Draw: add shapes or text to an image. Decorate: add a border or frame to an image. Special effects: blur, sharpen, threshold, or tint an image.

  4. 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). [2] [3] It uses Nvidia CUDA for computing, [4] although alternative implementations that allow for OpenCL [5] and Vulkan [6] have been created.

  5. Comparison of image viewers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_image_viewers

    Add Text, crop, cut/copy selected area, paste-Into selected area, paste from print screen, resize/resample, rotate, flip vertically/horizontally, JPEG lossless transformations, color adjustments, change color depth, greyscale, red-eye reduction, sharpen, effects/filters, own and 8bf (Photoshop) plugins compatibility, edit IPTC info, move, copy ...

  6. 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.

  7. 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.

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