Image and Text Compression
Author:   James A. Storer
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1992
Volume:   176
ISBN:  

9781461365983


Pages:   354
Publication Date:   28 September 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Image and Text Compression


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Overview

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.

Full Product Details

Author:   James A. Storer
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1992
Volume:   176
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.563kg
ISBN:  

9781461365983


ISBN 10:   1461365988
Pages:   354
Publication Date:   28 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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