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OpenJPEG is an open-source library to encode and decode JPEG 2000 images. As of version 2.1 released in April 2014, it is officially conformant with the JPEG 2000 Part-1 standard. [ 3 ] It was subsequently adopted by ImageMagick instead of JasPer in 6.8.8-2 [ 4 ] and approved as new reference software for this standard in July 2015. [ 5 ]
Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...
The JPEG File Interchange Format (JFIF) is an image file format standard published as ITU-T Recommendation T.871 and ISO/IEC 10918-5. It defines supplementary specifications for the container format that contains the image data encoded with the JPEG algorithm.
Continuously varied JPEG compression (between Q=100 and Q=1) for an abdominal CT scan. JPEG (/ ˈ dʒ eɪ p ɛ ɡ / JAY-peg, short for Joint Photographic Experts Group and sometimes retroactively referred to as JPEG 1) [2] [3] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography.
jpegtran transforms JPEG data without reencoding (here with user interface CropGUI). The command-line program jpegtran provides several features for reformatting and recoding the representation of the DCT coefficients, for transformation of actual image data and for discarding auxiliary data in JPEG files, respectively.
JPEG XR is an image file format that offers several key improvements over JPEG, including: [18] Better compression JPEG XR file format supports higher compression ratios in comparison to JPEG for encoding an image with equivalent quality. Lossless compression JPEG XR also supports lossless compression. The signal processing steps in JPEG XR are ...
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]
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