Muutke küpsiste eelistusi

E-raamat: Still Image and Video Compression with MATLAB

  • Formaat: PDF+DRM
  • Sari: IEEE Press
  • Ilmumisaeg: 22-Sep-2011
  • Kirjastus: Wiley-IEEE Press
  • Keel: eng
  • ISBN-13: 9780470886915
  • Formaat - PDF+DRM
  • Hind: 143,20 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Raamatukogudele
  • Formaat: PDF+DRM
  • Sari: IEEE Press
  • Ilmumisaeg: 22-Sep-2011
  • Kirjastus: Wiley-IEEE Press
  • Keel: eng
  • ISBN-13: 9780470886915

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

"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. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods"--

"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. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms"--

Provided by publisher.

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. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms.
Preface xi
1 Introduction
1(20)
1.1 What is Source Coding?
2(1)
1.2 Why is Compression Necessary?
3(1)
1.3 Image and Video Compression Techniques
4(13)
1.4 Video Compression Standards
17(1)
1.5 Organization of the Book
18(1)
1.6 Summary
19(2)
References
19(2)
2 Image Acquisition
21(42)
2.1 Introduction
21(1)
2.2 Sampling a Continuous Image
22(15)
2.3 Image Quantization
37(18)
2.4 Color Image Representation
55(5)
2.5 Summary
60(3)
References
61(1)
Problems
62(1)
3 Image Transforms
63(36)
3.1 Introduction
63(1)
3.2 Unitary Transforms
64(21)
3.3 Karhunen-Loeve Transform
85(5)
3.4 Properties of Unitary Transforms
90(6)
3.5 Summary
96(3)
References
97(1)
Problems
98(1)
4 Discrete Wavelet Transform
99(34)
4.1 Introduction
99(1)
4.2 Continuous Wavelet Transform
100(2)
4.3 Wavelet Series
102(1)
4.4 Discrete Wavelet Transform
103(2)
4.5 Efficient Implementation of ID DWT
105(3)
4.6 Scaling and Wavelet Filters
108(11)
4.7 Two-Dimensional DWT
119(3)
4.8 Energy Compaction Property
122(7)
4.9 Integer or Reversible Wavelet
129(1)
4.10 Summary
129(4)
References
130(1)
Problems
131(2)
5 Lossless Coding
133(28)
5.1 Introduction
133(1)
5.2 Information Theory
134(7)
5.3 Huffman Coding
141(4)
5.4 Arithmetic Coding
145(6)
5.5 Golomb-Rice Coding
151(4)
5.6 Run-Length Coding
155(2)
5.7 Summary
157(4)
References
158(1)
Problems
159(2)
6 Predictive Coding
161(38)
6.1 Introduction
161(2)
6.2 Design of a DPCM
163(20)
6.3 Adaptive DPCM
183(12)
6.4 Summary
195(4)
References
196(1)
Problems
197(2)
7 Image Compression in the Transform Domain
199(60)
7.1 Introduction
199(1)
7.2 Basic Idea Behind Transform Coding
199(12)
7.3 Coding Gain of a Transform Coder
211(2)
7.4 JPEG Compression
213(14)
7.5 Compression of Color Images
227(7)
7.6 Blocking Artifact
234(13)
7.7 Variable Block Size DCT Coding
247(7)
7.8 Summary
254(5)
References
255(2)
Problems
257(2)
8 Image Compression in the Wavelet Domain
259(42)
8.1 Introduction
259(1)
8.2 Design of a DWT Coder
259(18)
8.3 Zero-Tree Coding
277(5)
8.4 JPEG2000
282(15)
8.5 Digital Cinema
297(1)
8.6 Summary
298(3)
References
299(1)
Problems
300(1)
9 Basics of Video Compression
301(58)
9.1 Introduction
301(4)
9.2 Video Coding
305(46)
9.3 Stereo Image Compression
351(4)
9.4 Summary
355(4)
References
356(1)
Problems
357(2)
10 Video Compression Standards
359(64)
10.1 Introduction
359(1)
10.2 MPEG-1 and MPEG-2 Standards
360(33)
10.3 MPEG-4
393(14)
10.4 H 264
407(11)
10.5 Summary
418(5)
References
419(1)
Problems
420(3)
Index 423
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.