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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.
2. Click your profile name. 3. Click Personal Info. 4. Click Update profile photo. 5. Select Upload from device. 6. Edit the photo by cropping or rotating it, or by adding a filter. 7. Click Save changes.
In the examples above, the size of the image is scaled based on each user's default image size, which can be changed at Special:Preferences. Setting image size in pixels, such as "250px", would override the user's preference and display the image as 250px wide for all users who view that image on that page.
Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.
Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.
Normally a picture links to its image page, which describes the image, who created it, and links to the original image at full resolution. This is usually best for the reader, and is often required by the uploader's choice of a CC-BY-SA license for the image.