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2. Comparison of YouTube downloaders - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_YouTube_down...

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3. 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.

4. Pixel-art scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

   Next, the rotated image is created with a nearest-neighbor scaling and rotation algorithm that simultaneously shrinks the big image back to its original size and rotates the image. Finally, overlooked single-pixel details are (optionally) restored if the corresponding pixel in the source image is different and the destination pixel has three ...

5. 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.

6. 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

7. Dots per inch - Wikipedia

   en.wikipedia.org/wiki/Dots_per_inch

   An image may also be resampled to change the number of pixels and therefore the size or resolution of the image, but this is quite different from simply setting a new PPI for the file. For vector images, since the file is resolution independent, there is no need to resample the image before resizing it as it prints equally well at all sizes ...