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Produktbild: Image and Text Compression
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Image and Text Compression

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Beschreibung

James A. Storer Computer Science Dept. Brandeis University Waltham, MA 02254 Data compression is the process of encoding a body of data to reduce stor age requirements. With Lossless compression, data can be decompressed to be identical to the original, whereas with lossy compression, decompressed data...

Beschreibung

James A. Storer Computer Science Dept. Brandeis University Waltham, MA 02254 Data compression is the process of encoding a body of data to reduce stor age requirements. With Lossless compression, data can be decompressed to be identical to the original, whereas with lossy compression, decompressed data may be an acceptable approximation (according to some fidelity criterion) to the original. For example, with digitized video, it may only be necessary that the decompressed video look as good as the original to the human eye. The two primary functions of data compression are: Storage: The capacity of a storage device can be effectively increased with data compression software or hardware that compresses a body of data on its way to the storage device and decompress it when it is retrieved. Communications: The bandwidth of a digital communication link can be effectively increased by compressing data at the sending end and decom pressing data at the receiving end. Here it can be crucial that compression and decompression can be performed in real time.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.09.2012

Abbildungen

VIII, 354 p.

Herausgeber James A. Storer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.09.2012

Abbildungen

VIII, 354 p.

Herausgeber James A. Storer
Verlag Springer Us
Seitenzahl

354

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

557 g

Auflage

Softcover reprint of the original 1st ed. 1992

Sprache

Englisch

ISBN

978-1-4613-6598-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Image and Text Compression
  • I. Part 1: Image Compression.- 1. Image Compression and Tree-Structured Vector Quantization.- 2. Fractal Image Compression Using Iterated Transforms.- 3. Optical Techniques for Image Compression.- II. Part 2: Text Compression.- 4. Practical Implementations of Arithmetic Coding.- 5. Context Modeling for Text Compression.- 6. Ziv-Lempel Compressors with Deferred-Innovation.- 7. Massively Parallel Systolic Algorithms for Real-Time Dictionary-Based Text Compression.- III. Part 3: Coding Theory.- 8. Variations on a Theme by Gallager.- 9. On the Coding Delay of a General Coder.- 10. Finite State Two-Dimensional Compressibility.