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Olaf Manz - Well Packed – Not a Bit Too Much: Compression of Digital Data Explained in an Understandable Way (essentials)

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Olaf Manz Well Packed – Not a Bit Too Much: Compression of Digital Data Explained in an Understandable Way (essentials)
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With todays flood of data circulating on storage media and the Internet, compression of digital data remains an immensely important aspect of data transmission and storage. This essential explains, without theoretical superstructure and with elementary mathematical methods, the most important compression methods, such as the entropy encodings of Shannon-Fano and of Huffman, as well as the dictionary encodings of the Lempel-Ziv family. Irrelevance reduction and quantization for optical and acoustic signals, which exploit the inadequacies of the human eye and ear for data compression, are also discussed in detail. The whole is illustrated by means of common practical applications from the everyday environment. The presentation allows the use, for example, in working groups at schools, in introductory courses at universities and is also suitable for interested laypersons.

This Springer essential is a translation of the original German 1st edition essentials,Gut gepackt Kein Bit zu viel by Olaf Manz, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

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Book cover of Well Packed Not a Bit Too Much essentials Springer essentials - photo 1
Book cover of Well Packed Not a Bit Too Much
essentials Springer essentials
Springer essentials provide up-to-date knowledge in a concentrated form. They aim to deliver the essence of what counts as state-of-the-art in the current academic discussion or in practice. With their quick, uncomplicated and comprehensible information, essentials provide:
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More information about this subseries at http://www.springer.com/series/16761

Olaf Manz
Well Packed Not a Bit Too Much
Compression of Digital Data Explained in an Understandable Way
1st ed. 2021
Logo of the publisher Olaf Manz Worms Germany ISSN 2197-6708 e-ISSN - photo 2
Logo of the publisher
Olaf Manz
Worms, Germany
ISSN 2197-6708 e-ISSN 2197-6716
essentials
ISSN 2731-3107 e-ISSN 2731-3115
Springer essentials
ISBN 978-3-658-34736-9 e-ISBN 978-3-658-34737-6
https://doi.org/10.1007/978-3-658-34737-6
Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Responsible Editor: Annika Denkert

This Springer imprint is published by the registered company Springer Fachmedien Wiesbaden GmbH part of Springer Nature.

The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany

What You Can Find in This essential
You learn,
  • how to digitize information for the purpose of data transmission and storage.

  • which different techniques are available to additionally compress digital data.

  • how the simplest compression method, run length encoding, works.

  • what is entropy coding in data compression.

  • that you can also create dictionaries for data compression.

  • how to cheat the human eye and ear by means of irrelevance reduction.

  • that photos, graphics, videos and sound can only be transmitted and stored in quantized form.

An Initial Overview

Numerous books and articles deal with the secrecy of data worthy of protection through encryption and digital signatures. There are also many publications on how to automatically correct transmission and readout errors with the help of mathematical methods. In this context, another important but far less extensive topic of data transmission and storage is often somewhat neglected, namely data compression. Yet it is no less relevant in view of todays flood of data circulating on storage media and the Internet. The present paper explains without theoretical superstructure and with elementary mathematical and informatic methods the most important compression methods, so among other things the entropy codings of Shannon-Fano and Huffman, as well as the dictionary codings of the Lempel-Ziv family. Irrelevance reduction and quantization for optical and acoustic signals, which exploit the inadequacies of the human eye and ear for data compression, are also discussed in detail. It is illustrated using common practical applications such as ZIP archives, the GIF graphics format, the JPEG photo format, the MPEG-2 video format, and the CDA and MP3 audio formats. The preparation of the topic allows the use, for example, in working groups at schools, in introductory courses at universities and is also suitable for interested laymen.

Contents
About the Author
Dr. Olaf Manz

First worked as a research assistant and Heisenberg professor at the mathematical institutes of the universities of Mainz and Heidelberg. He then worked for many years at Siemens in IT product management and also knows data processing from the practical side. He is also the author of the books Fehlerkorrigierende Codes and Verschlsseln, Signieren, Angreifen published by Springer.

Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021
O. Manz Well Packed Not a Bit Too Much Springer essentials https://doi.org/10.1007/978-3-658-34737-6_1
1. Data Transmission and Storage
Olaf Manz
(1)
Worms, Germany
Olaf Manz
Email:
In todays information age, huge amounts of information are exchanged between senders and recipients in business, society and science, but also in private life. This is now only done to a very limited extent on paper, for example, by post. Instead, people nowadays mainly use the Internet, which is often accessed via wireless networks, that is, WLAN. For important but also casual conversations, the landline or mobile phone is still popular, while navigation information in road traffic is received via satellite using GPS technology. Information can also be transferred via storage media, for example, music can be purchased on commercially available CDs or holiday photos can be exchanged by saving them to a USB stick. The ubiquitous barcodes also contain specific information that can be read using a suitable scanner. For all information exchange techniques, there are basically three requirements to consider, which in practice vary in importance and relevance depending on the application and situation, and which are summarized in Fig.. The information to be exchanged should
Fig 11 Data transmission and storage scenario be transmitted in the most - photo 3
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