Home > Store

Digital Video Processing, 2nd Edition

Register your product to gain access to bonus material or receive a coupon.

Digital Video Processing, 2nd Edition

eBook (Watermarked)

  • Your Price: $84.99
  • List Price: $99.99
  • About Watermarked eBooks
  • This PDF will be accessible from your Account page after purchase and requires the free Adobe® Reader® software to read it.

    The eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

    Watermarked eBook FAQ


  • Copyright 2015
  • Pages: 624
  • Edition: 2nd
  • eBook (Watermarked)
  • ISBN-10: 0-13-399208-X
  • ISBN-13: 978-0-13-399208-3

Over the years, thousands of engineering students and professionals relied on Digital Video Processing as the definitive, in-depth guide to digital image and video processing technology. Now, Dr. A. Murat Tekalp has completely revamped the first edition to reflect today’s technologies, techniques, algorithms, and trends.

Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video.

This edition offers rigorous, comprehensive, balanced, and quantitative coverage of image filtering, motion estimation, tracking, segmentation, video filtering, and compression. Now organized and presented as a true tutorial, it contains updated problem sets and new MATLAB projects in every chapter.

Coverage includes

  • Multi-dimensional signals/systems: transforms, sampling, and lattice conversion
  • Digital images and video: human vision, analog/digital video, and video quality
  • Image filtering: gradient estimation, edge detection, scaling, multi-resolution representations, enhancement, de-noising, and restoration
  • Motion estimation: image formation; motion models; differential, matching, optimization, and transform-domain methods; and 3D motion and shape estimation
  • Video segmentation: color and motion segmentation, change detection, shot boundary detection, video matting, video tracking, and performance evaluation
  • Multi-frame filtering: motion-compensated filtering, multi-frame standards conversion, multi-frame noise filtering, restoration, and super-resolution
  • Image compression: lossless compression, JPEG, wavelets, and JPEG2000
  • Video compression: early standards, ITU-T H.264/MPEG-4 AVC, HEVC, Scalable Video Compression, and stereo/multi-view approaches

Sample Content

Table of Contents

Preface xvii

About the Author xxv

Chapter 1: Multi-Dimensional Signals and Systems 1

1.1 Multi-Dimensional Signals 2

1.2 Multi-Dimensional Transforms 8

1.3 Multi-Dimensional Systems 20

1.4 Multi-Dimensional Sampling Theory 30

1.5 Sampling Structure Conversion 42

References 47

Exercises 48

Chapter 2: Digital Images and Video 53

2.1 Human Visual System and Color 54

2.2 Analog Video 63

2.3 Digital Video 67

2.4 3D Video 79

2.5 Digital-Video Applications 85

2.6 Image and Video Quality 96

References 100

Chapter 3: Image Filtering 105

3.1 Image Smoothing 106

3.2 Image Re-Sampling and Multi-Resolution Representations 110

3.3 Image-Gradient Estimation, Edge and Feature Detection 127

3.4 Image Enhancement 137

3.5 Image Denoising 147

3.6 Image Restoration 164

References 181

Exercises 186

MATLAB Resources 193

Chapter 4: Motion Estimation 195

4.1 Image Formation 196

4.2 Motion Models 202

4.3 2D Apparent-Motion Estimation 214

4.4 Differential Methods 225

4.5 Matching Methods 233

4.6 Nonlinear Optimization Methods 245

4.7 Transform-Domain Methods 249

4.8 3D Motion and Structure Estimation 251

References 263

Exercises 268

MATLAB Resources 272

Chapter 5: Video Segmentation and Tracking 273

5.1 Image Segmentation 275

5.2 Change Detection 289

5.3 Motion Segmentation 298

5.4 Motion Tracking 317

5.5 Image and Video Matting 328

5.6 Performance Evaluation 330

References 331

MATLAB Exercises 338

Internet Resources 339

Chapter 6: Video Filtering 341

6.1 Theory of Spatio-Temporal Filtering 342

6.2 Video-Format Conversion 349

6.3 Multi-Frame Noise Filtering 367

6.4 Multi-Frame Restoration 374

6.5 Multi-Frame Super-Resolution 377

References 394

Exercises 399

Chapter 7: Image Compression 401

7.1 Basics of Image Compression 402

7.2 Lossless Image Compression 417

7.3 Discrete-Cosine Transform Coding and JPEG 431

7.4 Wavelet-Transform Coding and JPEG2000 443

References 454

Exercises 456

Internet Resources 459

Chapter 8: Video Compression 461

8.1 Video-Compression Approaches 462

8.2 Early Video-Compression Standards 467

8.3 MPEG-4 AVC/ITU-T H.264 Standard 483

8.4 High-Efficiency Video-Coding (HEVC) Standard 491

8.5 Scalable-Video Compression 497

8.6 Stereo and Multi-View Video Compression 502

References 512

Exercises 514

Internet Resources 515

Appendix A: Vector-Matrix Operations in Image and Video Processing 517

A.1 Two-Dimensional Convolution 517

A.2 Two-Dimensional Discrete-Fourier Transform 520

A.3 Three-Dimensional Rotation – Rotation Matrix 521

References 525

Exercises 525

Appendix B: Ill-Posed Problems in Image and Video Processing 527

B.1 Image Representations 527

B.2 Overview of Image Models 528

B.3 Basics of Sparse-Image Modeling 530

B.4 Well-Posed Formulations of Ill-Posed Problems 531

References 532

Appendix C: Markov and Gibbs Random Fields 533

C.1 Equivalence of Markov Random Fields and Gibbs Random Fields 533

C.2 Gibbs Distribution as an a priori PDF Model 537

C.3 Computation of Local Conditional Probabilities from a Gibbs Distribution 538

References 539

Appendix D: Optimization Methods 541

D.1 Gradient-Based Optimization 542

D.2 Simulated Annealing 544

D.3 Greedy Methods 547

References 549

Appendix E: Model Fitting 551

E.1 Least-Squares Fitting 551

E.2 Least-Squares Solution of Homogeneous Linear Equations 552

E.3 Total Least-Squares Fitting 554

E.4 Random-Sample Consensus (RANSAC) 556

References 556

Index 557


Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information

To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.


Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.


If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information

Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.


This site is not directed to children under the age of 13.


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information

If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information

Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents

California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure

Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact

Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice

We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020