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2. Conjunctions (journal) - Wikipedia

   en.wikipedia.org/wiki/Conjunctions_(journal)

   Conjunctions is a biannual American literary journal founded in 1981 by Bradford Morrow, who continues to edit the journal. In 1991, Bard College became the journal's publisher. Morrow received the PEN/Nora Magid Award for Magazine Editing in 2007.

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. Lossless JPEG - Wikipedia

   en.wikipedia.org/wiki/Lossless_JPEG

   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 ...

5. Electronic submission - Wikipedia

   en.wikipedia.org/wiki/Electronic_submission

   The art and science of collecting and managing electronic submissions is called Submission Management. Certain software vendors have begun developing submission management systems to assist in the collection, tracking and management of complex submission processes realized electronically. Most of these systems are web based and accessible from ...

6. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   The most widely used lossy compression algorithm is the discrete cosine transform (DCT), first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974. Lossy compression is most commonly used to compress multimedia data (audio, video, and images), especially in applications such as streaming media and internet telephony. By contrast ...

7. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...