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2. Guetzli - Wikipedia

   en.wikipedia.org/wiki/Guetzli

   Guetzli optimizes the quantization step of encoding to achieve compression efficiency. It constructs custom quantization tables for each file, decides on color subsampling, [4] and quantizes adjacent DCT coefficients to zero, balancing benefits in the run-length encoding of coefficients and preservation of perceived image fidelity.

3. JPEGmini - Wikipedia

   en.wikipedia.org/wiki/JPEGmini

   Resizing Configurations: Supports multiple batches of images and videos, Provides a range of predefined image sizes, as well as the ability to define specific dimensions. Plugins for image manipulation tools:Supports additional plugins for Adobe© Lightroom, Capture One© and Adobe© Photoshop in the JPEGmini Pro Suite

4. 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.

5. Zamzar - Wikipedia

   en.wikipedia.org/wiki/Zamzar

   In February 2021 Zamzar expanded their tool and announced a new file compression service. [10] The compressor is visually similar to the conversion tool with a drag and drop download feature. As with the converter, users have the option to subscribe for a paid plan if they wish to compress multiple or larger files than the free service permits [11]

6. Image conversion - Wikipedia

   en.wikipedia.org/wiki/Image_conversion

   Many image formats are native to one specific graphics application and are not offered as an export option in other software, due to proprietary considerations. An example of this is Adobe Photoshop 's native PSD-format (Prevention of Significant Deterioration), which cannot be opened in less sophisticated programs for image viewing or editing ...

7. JBIG2 - Wikipedia

   en.wikipedia.org/wiki/JBIG2

   JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group.It is suitable for both lossless and lossy compression. . According to a press release [1] from the Group, in its lossless mode JBIG2 typically generates files 3–5 times smaller than Fax Group 4 and 2–4 times smaller than JBIG, the previous bi-level compression standard released by