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  2. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Unsharp masking applied to lower part of image. Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The ...

  3. mtPaint - Wikipedia

    en.wikipedia.org/wiki/MtPaint

    mtPaint (short for Mark Tyler's Painting Program) is a free and open-source raster graphics editor for creating icons, pixel art and for photo editing. It is available for Microsoft Windows and Linux operating systems .

  4. Sumo Paint - Wikipedia

    en.wikipedia.org/wiki/Sumo_Paint

    There is a support community called sumo.app with community features, such as uploading, commenting on, and rating images, which are accessible to those with accounts. There is a paid professional version of the software called Sumo Pro which activates features such as a downloadable version of the software.

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

  6. Kai's Power Tools - Wikipedia

    en.wikipedia.org/wiki/Kai's_Power_Tools

    The second mode, Contrast Sharpen, allows for increasing the contrast between light and dark areas in an image. The third mode, Bounded Sharpen, can sharpen an image without causing oversharpening, which can lead to halo effects. This feature is particularly useful when pulling out the detail in an image softened by resizing.

  7. Comparison gallery of image scaling algorithms - Wikipedia

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

    One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. 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 ...

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