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  2. Brush Strokes Image Editor - Wikipedia

    en.wikipedia.org/wiki/Brush_Strokes_Image_Editor

    pattern and image fills; transparency; feathering; crop; The "Filters & Lenses" tool box has a noise reduction function that retains edges within the canvas. It can significantly reduce or eliminate speckles and smudging in JPEG images. Any of the filters can be applied repeatedly for two seconds by clicking on the last button in the tool box.

  3. FastStone Image Viewer - Wikipedia

    en.wikipedia.org/wiki/FastStone_Image_Viewer

    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.

  4. 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.

  5. File:TomSachs22 with crop, color correction, and sharpening.jpg

    en.wikipedia.org/wiki/File:TomSachs22_with_crop...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  6. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    Crop / Avoid overlap Any pixel in the output image which would require values from beyond the edge is skipped. This method can result in the output image being slightly smaller, with the edges having been cropped. Move kernel so that values from outside of image is never required. Machine learning mainly uses this approach.

  7. 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.

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