Handbook of Image and Video Processing (Communications, Networking and Multimedia)
55% new material in the latest edition of this "must-have" for students and practitioners of image & video processing!
This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource.
. Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms
. Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula
. Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry
. Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived
. Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data
. Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications
About the Editor.
Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.
* No other resource for image and video processing contains the same breadth of up-to-date coverage
* Each chapter written by one or several of the top experts working in that area
* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various,
image-intensive disciplines
Why Read This Book
You should read this handbook if you need a single, authoritative reference that spans practical algorithms and theoretical foundations in image and video processing. You will find accessible overviews plus deep dives by domain experts on topics from transforms and wavelets to motion estimation, compression, restoration, and quality assessment.
Who Will Benefit
Graduate students, researchers, and practicing engineers in image/video processing, computer vision, or signal processing who need a thorough reference for algorithms and theory.
Level: Advanced — Prerequisites: Undergraduate-level signal processing (Fourier transforms, sampling), linear algebra, probability/statistics, and basic programming (MATLAB or similar).
Key Takeaways
- Understand the fundamentals of image formation, sampling, and common transform domains used in imaging
- Design and apply spatial and frequency-domain filters for enhancement and restoration
- Implement multiresolution and wavelet-based methods for denoising and compression
- Analyze and implement motion estimation, tracking, and core video coding techniques
- Apply segmentation, registration, stereo and 3D reconstruction algorithms for image analysis
- Evaluate and use image/video quality metrics and perceptual models for system design
Topics Covered
- Introduction and overview of image & video processing
- Image formation, sampling, and color models
- Image transforms (DCT, Fourier) and spectral analysis
- Multiresolution analysis and wavelet transforms
- Image enhancement and restoration (noise models, deblurring)
- Image denoising and statistical methods
- Image and video compression (JPEG, MPEG, modern codecs)
- Motion estimation, optical flow, and video stabilization
- Segmentation, edge detection, and morphological methods
- Registration, stereo vision, and 3D reconstruction
- Object recognition, detection and tracking
- Image/video quality assessment and human perception
- Emerging topics and applications (streaming, multimedia systems)
Languages, Platforms & Tools
How It Compares
Broader and more encyclopedic than Gonzalez & Woods' Digital Image Processing (which is a classroom textbook); more application/vision-focused than Szeliski's Computer Vision but with deeper coverage of signal-processing topics like transforms and wavelets.
