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2. Free Lossless Image Format - Wikipedia

   en.wikipedia.org/wiki/Free_Lossless_Image_Format

   Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [ 4 ]

3. Comparison of image viewers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_image_viewers

   user-defined, name, date, file size, image size, type Geeqie: Yes Yes Yes fit, 1:1, in/out Yes previous, next Yes 24x24 - 256x256 Yes as png-files centrally or in sub-dir list, dir-tree, collection Yes Yes collections, keywords, directory gThumb: Yes Yes random, forward, reverse Yes fit, 1:1, remember, fit-if-larger, in/out Yes 48x48 - 256x256 ...

4. Wikipedia:Non-free content/Image size calculator - Wikipedia

   en.wikipedia.org/.../Image_size_calculator

   This page was last edited on 14 September 2024, at 10:10 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

5. ImageMagick - Wikipedia

   en.wikipedia.org/wiki/ImageMagick

   The software mainly consists of a number of command-line interface utilities for manipulating images. ImageMagick does not have a robust graphical user interface to edit images as do Adobe Photoshop and GIMP, but does include – for Unix-like operating systems – a basic native X Window GUI (called IMDisplay) for rendering and manipulating images and API libraries for many programming languages.

6. 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.

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 artifacts.