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2. Comparison gallery of image scaling algorithms - Wikipedia

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

   An image size can be changed in several ways. Consider resizing a 160x160 pixel photo to the following 40x40 pixel thumbnail and then scaling the thumbnail to a 160x160 pixel image. Also consider doubling the size of the following image containing text.

3. 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.

4. 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.

5. Epson - Wikipedia

   en.wikipedia.org/wiki/Epson

   Epson has released a firmware patch to bring the R-D1 up to the full functionality of its successor, being the first digital camera manufacturer to make such an upgrade available for free. [citation needed] In September 2012, Epson introduced a printer called the Expression Premium XP-800 Small-in-One, with the ability to print wirelessly. [20]

6. JPEG XR - Wikipedia

   en.wikipedia.org/wiki/JPEG_XR

   JPEG 2000, an improvement intended to replace JPEG by the JPEG committee as of 2000 JPEG XS , format for image and video with very low latency, more efficient for streaming high quality video JPEG XL , is a royalty-free raster-graphics file format that supports both lossy and lossless compression.

7. Lossless JPEG - Wikipedia

   en.wikipedia.org/wiki/Lossless_JPEG

   Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...