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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. Comparison of image viewers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_image_viewers

   Add Text, crop, cut/copy selected area, paste-Into selected area, paste from print screen, resize/resample, rotate, flip vertically/horizontally, JPEG lossless transformations, color adjustments, change color depth, greyscale, red-eye reduction, sharpen, effects/filters, own and 8bf (Photoshop) plugins compatibility, edit IPTC info, move, copy ...

5. ImageMagick - Wikipedia

   en.wikipedia.org/wiki/ImageMagick

   Format conversion: convert an image from one format to another (e.g. PNG to JPEG). Transform: resize, rotate, crop, flip or trim an image. (Applies these without generation loss on JPEG files, where possible.) Transparency: render portions of an image invisible. Draw: add shapes or text to an image. Decorate: add a border or frame to an image.

6. XnView - Wikipedia

   en.wikipedia.org/wiki/XnView

   Scripts can be created to convert, manipulate and rename a batch of images in one go. Creation of advanced slide shows is also possible. Lossless (without new encoding) turning, flipping and cropping of JPEG files is supported. Typical image editing tools are included, for instance color and size manipulation, several filters and effects.

7. Image conversion - Wikipedia

   en.wikipedia.org/wiki/Image_conversion

   Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images.. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifa