K. S. Thyagarajan

Still Image and Video Compression with MATLAB (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 448
• Erscheinungstermin: 22. September 2011
• Englisch
• ISBN-13: 9780470886915
• Artikelnr.: 37300137

Autorenporträt

K.S. Thyagarajan is Chief Scientist at Micro USA, Inc., where he has developed an extensive suite of image processing, detection, and classification algorithms for the detection of very low contrast targets underwater in littoral waters and open oceans. He is an Emeritus Professor in the Department of Electrical and Computer Engineering at San Diego State University, and has extensive academic and industrial experience in researching and developing video compression systems. Dr. Thyagarajan's expertise lies in signal, image processing, image and video compression, pattern recognition, and communications. He holds several patents in video compression.

Inhaltsangabe

Preface. 1 Introduction. 1.1 What is Source Coding? 1.2 Why is Compression
Necessary? 1.3 Image and Video Compression Techniques. 1.4 Video
Compression Standards. 1.5 Organization of the Book. 1.6 Summary.
References. 2 Image Acquisition. 2.1 Introduction. 2.2 Sampling a
Continuous Image. 2.3 Image Quantization. 2.4 Color Image Representation.
2.5 Summary. References. Problems. 3 Image Transforms. 3.1 Introduction.
3.2 Unitary Transforms. 3.3 Karhunen-Loeve Transform. 3.4 Properties of
Unitary Transforms. 3.5 Summary. References. Problems. 4 Discrete Wavelet
Transform. 4.1 Introduction. 4.2 Continuous Wavelet Transform. 4.3 Wavelet
Series. 4.4 Discrete Wavelet Transform. 4.5 Efficient Implementation of 1D
DWT. 4.6 Scaling and Wavelet Filters. 4.7 Two-Dimensional DWT. 4.8 Energy
Compaction Property. 4.9 Integer or Reversible Wavelet. 4.10 Summary.
References. Problems. 5 Lossless Coding. 5.1 Introduction. 5.2 Information
Theory. 5.3 Huffman Coding. 5.4 Arithmetic Coding. 5.5 Golomb-Rice Coding.
5.6 Run-Length Coding. 5.7 Summary. References. Problems. 6 Predictive
Coding. 6.1 Introduction. 6.2 Design of a DPCM. 6.3 Adaptive DPCM. 6.4
Summary. References. Problems. 7 Image Compression in the Transform Domain.
7.1 Introduction. 7.2 Basic Idea Behind Transform Coding. 7.3 Coding Gain
of a Transform Coder. 7.4 JPEG Compression. 7.5 Compression of Color
Images. 7.6 Blocking Artifact. 7.7 Variable Block Size DCT Coding. 7.8
Summary. References. Problems. 8 Image Compression in the Wavelet Domain.
8.1 Introduction. 8.2 Design of a DWT Coder. 8.3 Zero-Tree Coding. 8.4
JPEG2000. 8.5 Digital Cinema. 8.6 Summary. References. Problems. 9 Basics
of Video Compression. 9.1 Introduction. 9.2 Video Coding. 9.3 Stereo Image
Compression. 9.4 Summary. References. Problems. 10 Video Compression
Standards. 10.1 Introduction. 10.2 MPEG-1 and MPEG-2 Standards. 10.3
MPEG-4. 10.4 H.264. 10.5 Summary. References. Problems. Index.