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2. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   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.

3. Comparison gallery of image scaling algorithms - Wikipedia

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

   Simple Fourier based interpolation based on padding of the frequency domain with zero components (a smooth-window-based approach would reduce the ringing).Beside the good conservation of details, notable is the ringing and the circular bleeding of content from the left border to right border (and way around).

4. Template:Multiple image - Wikipedia

   en.wikipedia.org/wiki/Template:Multiple_image

   This template creates a box with two to ten images arranged vertically or horizontally with captions for the entire box and each image. Template parameters [Edit template data] This template has custom formatting. Parameter Description Type Status Alignment align Sets text-wrapping around image box, where "none" places the box on the left edge with no text-wrapping, "center" places the box at ...

5. libjpeg - Wikipedia

   en.wikipedia.org/wiki/Libjpeg

   The JPEG implementation of the Independent JPEG Group (IJG) was first publicly released on 7 October 1991 and has been considerably developed since that time. The development was initially mainly done by Tom Lane. The open-source implementation of the IJG was one of the major open-source packages and was key to the success of the JPEG standard ...

6. Seam carving - Wikipedia

   en.wikipedia.org/wiki/Seam_carving

   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.

7. Image compression - Wikipedia

   en.wikipedia.org/wiki/Image_compression

   Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.