The Transform and Data Compression Handbook
eBook - ePub

The Transform and Data Compression Handbook

  1. 408 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Transform and Data Compression Handbook

About this book

Data compression is one of the main contributing factors in the explosive growth in information technology. Without it, a number of consumer and commercial products, such as DVD, videophone, digital camera, MP3, video-streaming and wireless PCS, would have been virtually impossible. Transforming the data to a frequency or other domain enables even more efficient compression. By illustrating this intimate link, The Transform and Data Compression Handbook serves as a much-needed handbook for a wide range of researchers and engineers. The authors describe various discrete transforms and their applications in different disciplines. They cover techniques, such as adaptive quantization and entropy coding, that result in significant reduction in bit rates when applied to the transform coefficients. With clear and concise presentations of the ideas and concepts, as well as detailed descriptions of the algorithms, the authors provide important insight into the applications and their limitations. Data compression is an essential step towards the efficient storage and transmission of information. The Transform and Data Compression Handbook provides a wealth of information regarding different discrete transforms and demonstrates their power and practicality in data compression.

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Yes, you can access The Transform and Data Compression Handbook by Kamisetty Ramam Rao, Patrick C. Yip, Kamisetty Ramam Rao,Patrick C. Yip in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Preface
  7. List of Acronyms
  8. Contributors
  9. Table of Contents
  10. Chapter 1: Karhunen-Loève Transform
  11. Chapter 2: The Discrete Fourier Transform
  12. Chapter 3: Comparametric Transforms for Transmitting Eye Tap Video with Picture Transfer Protocol (PTP)
  13. Chapter 4: Discrete Cosine and Sine Transforms
  14. Chapter 5: Lapped Transforms for Image Compression
  15. Chapter 6: Wavelet-Based Image Compression
  16. Chapter 7: Fractal-Based Image and Video Compression
  17. Chapter 8: Compression of Wavelet Transform Coefficients