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2. JPEG XS - Wikipedia

   en.wikipedia.org/wiki/JPEG_XS

   JPEG XS is a light-weight compression that visually preserves the quality compared to an uncompressed stream, at a low cost, targeted at compression ratios of up to 10:1. With XS, it is for example possible to repurpose existing SDI cables to transport 4K60 over a single 3G-SDI (at 4:1), and even over a single HD-SDI (at 8:1).

3. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

4. Comparison of graphics file formats - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_graphics...

   Download QR code; Print/export Download as PDF; Printable version; ... JPEG XR / HD Photo: JPEG XR / HD Photo Microsoft.wdp, .hdp, .jxr image/vnd.ms-photo General purpose

5. Image file format - Wikipedia

   en.wikipedia.org/wiki/Image_file_format

   The JPEG filename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a significant reduction of the file size.

6. Help:Creation and usage of media files - Wikipedia

   en.wikipedia.org/wiki/Help:Creation_and_usage_of...

   The following file types may be uploaded: png, gif, jpg/jpeg, xcf, pdf, mid, ogg/ogv/oga, svg, djvu and webm. note: pdf and djvu are intended primarily for projects like Wikisource. A screencast that walks through how to upload files to Wikimedia Commons and add them to Wikipedia articles.

7. 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.