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Data compression: Lossless data compression, Lossy compression, Image compression, White noise, Video compression, Prefix code - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 57. Chapters: Lossless data compression, Lossy compression, Image compression, White noise, Video compression, Prefix code, Data compression ratio, Data compaction, WinZip, Bitstream format, Audio compression, Data deduplication, DriveSpace, Error exponent, Compression artifact, Progressive Graphics File, Shannon's source coding theorem, Rate-distortion theory, Binary Ordered Compression for Unicode, Context mixing, Universal code, Ocarina Networks, Move-to-front transform, Generation loss, Calgary Corpus, Bitrate peeling, Sardinas-Patterson algorithm, ROHC, Sub-band coding, Hutter Prize, LZX, Self-extracting archive, Double Tools for DoubleSpace, Smart Bitrate Control, Transparency, ZeoSync, Solid compression, Unary coding, Modulo-N code, Lossy data conversion, Grammar-based code, Jan Sloot, CMX, Zoo, Recursive indexing, Signaling Compression, Data compression symmetry, Smart Data Compression, Compressed pattern matching, QDX, Trellis quantization, Van Jacobson TCP/IP Header Compression, Time-domain harmonic scaling, Ultra Low Delay Audio Coder, Precompressor, Krichevsky-Trofimov estimator, Dyadic distribution, Set partitioning in hierarchical trees, Volume, Silence compression, Matt Mahoney, Transparency threshold, Canterbury Corpus, Twin vector quantization, Mode Z compression. Excerpt: Lossless data compression is a class of data compression algorithms that allows the exact original data to be reconstructed from the compressed data. The term lossless is in contrast to lossy data compression, which only allows an approximation of the original data to be reconstructed, in exchange for better compression rates. Lossless data compression is used in many applications. For example, it is used in the ZIP file format and in the Unix tool gzip. It is also often used as a component within lossy data compression technologies (e.g. lossl...
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 57. Chapters: Lossless data compression, Lossy compression, Image compression, White noise, Video compression, Prefix code, Data compression ratio, Data compaction, WinZip, Bitstream format, Audio compression, Data deduplication, DriveSpace, Error exponent, Compression artifact, Progressive Graphics File, Shannon's source coding theorem, Rate-distortion theory, Binary Ordered Compression for Unicode, Context mixing, Universal code, Ocarina Networks, Move-to-front transform, Generation loss, Calgary Corpus, Bitrate peeling, Sardinas-Patterson algorithm, ROHC, Sub-band coding, Hutter Prize, LZX, Self-extracting archive, Double Tools for DoubleSpace, Smart Bitrate Control, Transparency, ZeoSync, Solid compression, Unary coding, Modulo-N code, Lossy data conversion, Grammar-based code, Jan Sloot, CMX, Zoo, Recursive indexing, Signaling Compression, Data compression symmetry, Smart Data Compression, Compressed pattern matching, QDX, Trellis quantization, Van Jacobson TCP/IP Header Compression, Time-domain harmonic scaling, Ultra Low Delay Audio Coder, Precompressor, Krichevsky-Trofimov estimator, Dyadic distribution, Set partitioning in hierarchical trees, Volume, Silence compression, Matt Mahoney, Transparency threshold, Canterbury Corpus, Twin vector quantization, Mode Z compression. Excerpt: Lossless data compression is a class of data compression algorithms that allows the exact original data to be reconstructed from the compressed data. The term lossless is in contrast to lossy data compression, which only allows an approximation of the original data to be reconstructed, in exchange for better compression rates. Lossless data compression is used in many applications. For example, it is used in the ZIP file format and in the Unix tool gzip. It is also often used as a component within lossy data compression technologies (e.g. lossl...
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