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  2. Wikipedia:Autosizing images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Autosizing_images

    upright=0.8 – scales the image to approximately 80% of the user's default size (20% smaller) upright=1.2 – scales the image to approximately 120% of the user's default size (20% larger) left – shifts the image to the left margin; right – shifts the image to the right margin; center – shifts the image to center between left/right margins

  3. Comparison of image viewers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_image_viewers

    Fit to window, zoom, print, full-screen, slideshow, image collection, image information... Rotate, flip, save as, used for reading comics and manga. Proprietary: Darktable: Lighttable (contact sheet), darkroom (image editing), map, tethering Non-destructive RAW photo editing (like Adobe Lightroom) as well as common image formats GPL-3.0-or ...

  4. 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.

  5. PhotoScape - Wikipedia

    en.wikipedia.org/wiki/PhotoScape

    Photo Editor: Enhance and balance color, resize, add effects, Overlays and clip-arts. Photo Batch-Editor: Process multiple photos at once, rename multiple photos at once. Collage Creator: joins multiple photos into poster-like single page or into one final photo. GIF Animation: Make multiple images into GIF-animated image.

  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. Wikipedia : Non-free content/Definition of "low resolution"

    en.wikipedia.org/wiki/Wikipedia:Non-free_content...

    In cases where the low-resolution images would directly compete with an existing market for low-resolution images, extreme caution should be taken. One recent Circuit Court case held Google as infringing for its search engine making automatic thumbnails of images which could potentially be sold as cellphone background images. [3]

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