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2. Image conversion - Wikipedia

   en.wikipedia.org/wiki/Image_conversion

   Besides uncompressed formats and lossless compression formats that can usually be interconverted without any loss of detail, there are compressed formats such as JPEG, which lose detail on nearly every compress. While a conversion from a compressed to an uncompressed format is in general without loss, this is not true the other way around.

3. dcraw - Wikipedia

   en.wikipedia.org/wiki/Dcraw

   The program is a command line tool which takes a list of raw image files to process, along with any image adjustment options desired. dcraw also serves as the basis for various high-level raw image-processing applications (such as viewers and converters), both free and open source software as well as proprietary software.

4. Comparison of raster-to-vector conversion software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_raster-to...

   Free GPL-2.0-or-later: Cross-platform, Windows and POSIX: Scan2CAD: Avia Systems 1997 2022 (version 10.4.13) $49–$149 per month Proprietary: Windows, macOS WinTopo Freeware SoftSoft Ltd. 1999 2015 (version 1.76) Freeware Free to use for any purpose, including commercial purposes [2] Proprietary: Windows WinTopo Pro SoftSoft Ltd. 2000 2015 ...

5. Image tracing - Wikipedia

   en.wikipedia.org/wiki/Image_tracing

   The bitmap image may need a lot of work to clean it up. Erase stray marks and fill in lines and areas. Corel advice: Put the image on a light table, cover it with vellum (tracing paper), and then manually ink the desired outlines. Then scan the vellum and use an automated raster-to-vector conversion program on that scan.

6. ImageMagick - Wikipedia

   en.wikipedia.org/wiki/ImageMagick

   ImageMagick, invoked from the command line as magick, is a free and open-source [3] cross-platform software suite for displaying, creating, converting, modifying, and editing raster images. ImageMagick was created by John Cristy in 1987, it can read and write over 200 image file formats. It is widely used in open-source applications.

7. Comparison gallery of image scaling algorithms - Wikipedia

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

   For magnifying computer graphics with low resolution and few colors (usually from 2 to 256 colors), better results will be achieved by pixel art scaling algorithms such as hqx or xbr. These produce sharp edges and maintain high level of detail. Unfortunately due to the standardized size of 218x80 pixels, the "Wiki" image cannot use HQ4x or ...