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2. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   This is an accepted version of this page This is the latest accepted revision, reviewed on 13 December 2024. Lossy compression method for reducing the size of digital images For other uses, see JPEG (disambiguation). "JPG" and "Jpg" redirect here. For other uses, see JPG (disambiguation). JPEG A photo of a European wildcat with the compression rate, and associated losses, decreasing from left ...

3. 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.

4. 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]

5. Image file format - Wikipedia

   en.wikipedia.org/wiki/Image_file_format

   JPEG XL is a royalty-free raster-graphics file format that supports both lossy and lossless compression. It supports reversible recompression of existing JPEG files, as well as high-precision HDR (up to 32-bit floating point values per pixel component). It is designed to be usable for both delivery and authoring use cases.

6. JPEG 2000 - Wikipedia

   en.wikipedia.org/wiki/JPEG_2000

   JPEG 2000 (JP2) is an image compression standard and coding system. It was developed from 1997 to 2000 by a Joint Photographic Experts Group committee chaired by Touradj Ebrahimi (later the JPEG president), [1] with the intention of superseding their original JPEG standard (created in 1992), which is based on a discrete cosine transform (DCT), with a newly designed, wavelet-based method.

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 ...