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2. Guetzli - Wikipedia

   en.wikipedia.org/wiki/Guetzli

   Guetzli supports only the top of JPEG's quality range (quantizer settings 84–100) [7] [8] and supports only sequential (non-"progressive") encoding. Guetzli is more effective with bigger files. [8] Google says it is a demonstration of the potential of psychovisual optimizations, intended to motivate further research into future JPEG encoders. [2]

3. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   In addition, grayscale images of 8 bits or less can be created, usually via conversion and down-sampling from a full-color image. Grayscale conversion is useful for reducing the file size dramatically when the original photographic print was monochrome, but a color tint has been introduced due to aging effects.

4. 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.

5. libjpeg - Wikipedia

   en.wikipedia.org/wiki/Libjpeg

   optimisation of the Huffman coding layer of a JPEG file to increase compression, conversion between progressive and sequential JPEG formats, conversion between Huffman and arithmetic coding in the entropy coding layer. [5] [6] [7] These transformations are each completely lossless and reversible. The transformations on the image data comprise:

6. JPEG XL - Wikipedia

   en.wikipedia.org/wiki/JPEG_XL

   JPEG transcoding: Being a JPEG superset, JXL provides efficient lossless recompression options for images in the traditional/legacy JPEG format that can represent JPEG data in a more space-efficient way (~20% size reduction due to the better entropy coder) and can easily be reversed, e.g. on the fly. Wrapped inside a JPEG XL file/stream, it can ...

7. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...