Customer Reviews

Digital Image Processing with Application to Digital Cinema

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I am involved in embedded applications. I currently work with scientific imaging sensors and real-time processing. This book has been useful and straight forward in my line of work. The chapter on human visual perception helped me to relate with camera issues. The book explains in a systematic manner how to apply discrete wavelet transforms to imaging and how to manipulate them. Overall, the materials in the book are easy to understand and have good examples. I highly recommend this book !!!

This book provides a very practical up-to-date introduction and explanation of the concepts and state of the art behind the fast changing world of digital image processing, specifically for higher-end applications such as television and digital cinema. The author does a good job of providing easy-to-understand explanations and examples of the basics of this complicated science that allow a non-technical professional to understand the basics of how digital processing is used in video and image applications. But, he also goes further to explain the complicated mathematical principles of various image processing technologies for the benefit of the serious student. The MATLAB examples in the appendix and the suggested "for further study" exercises help provide tools and direction for readers who want to experiment with the principles in the book. Overall, this book should be very useful to the professional or student trying to understand the current industry thinking regarding digital processing and compression of images for high-end presentation applications like digital cinema at whatever depth of understanding they are needing.

This is truly a great book, the math notations are clear and concise. A lot of good reference pointers in the book make it not only a fundamental textbook but also a good research resource. Many sample codes in Matlab are provided. For anyone working on image signal processing, it is a great resource library. The book is equally valuable to professioinals working on this subject and students (senior undergrad or first year graduate students) becoming familiar with the field.
There is only one minor limitation on what it covers on the digital video compression section. Some of the newest techniques used by the H.264 and VC1 were not mentioned here -- such as intra frame prediction, deblocking filter, as well as mathematic coding used in the entropy coding. There is a discussion on the adaptive block based DCT, which is very interesting. Although a comparison with the current adaptive variable size tracking block and Hadamard transformation would be valuable as well.
This might be a good incentive for Dr. Thyagarajan to write a 2nd edition :). In case he plans to write a new edition, maybe he can elaborate a bit more on the last chapter about what were Qualcomm's practical problems in this project and how they were resolved -- I would imagine he could have enough material to expand the last chapter easily to 40-50 pages from 15 pages.
In summary, I like this book a lot, especially the wavelet section. It is one of the best and clearst treatments of the subject I have ever seen.
I highly recommend owning this book and reading it seriously!

The book "Digital Image Processing with Application to Digital Cinema" is an excellent treatment on digital image processing techniques. Mathematical derivations are kept to a minimum so as not to lose sight of the main principles of image processing. Yet the book can easily serve the needs of both professionals and students equally well. The chapter on human visual perception is treated very well giving all details of known visual models, which are used later in the chapter on image compression. Image enhancement is an essential ingredient in all aspects of image processing and the book aptly covers enhancement techniques in detail with numerous examples. Transform techniques in general and wavelet transform in particular are given adequate coverage that most can follow. The chapter on image compression takes up these transforms and explains clearly how to apply them in achieving quality image and video compression. The book ends with a chapter on case studies involving two state-of-the art systems for distribution of movies in digital format. I enjoyed this book very much and I highly recommend it to all professionals, both in universities and industries.

The author has provided the digital image and cinema industry with a serious text on image processing. Although the stated focus is digital cinema, this book can be utilized by anyone interested in the algorithms of digital image processing. The book is aimed primarily at professionals who are already involved in the field, but it could also be easily used as a textbook on the subject. Derivations are kept to a minimum and numerous examples in MATLAB are provided to illustrate the various digital processes as well as their effects. There are two chapters in particular that are often omitted in image processing texts. One is the chapter on human visual perception which emphasizes the importance of often mentioned phenemona such as contrast sensitivity as well as less often mentioned non-linear effects and their perception. The other is the chapter on image compression which is extensive and includes spatial, transform, and wavelet domain algorithms in detail. Most interesting is the section devoted to the use of the human vision model in the compression process. Although computer vision itself is largely omitted from the book, the author did include a discussion of basic edge detection methods.

Chapter 1 introduces the readers to digital processing techniques in a brief fashion. Chapter 2 is a review of two-dimensional discrete signals and systems. If you are rusty on this subject, you will probably need an outside source to help refresh your memory. Chapter 3 describes human visual perception from a system point of view. Human vision plays a key role in the design of image and video compression and display systems, thus the chapter describes vision models in detail, in particular the model that predicts masking effects in digital imaging. Chapters four through six, though interesting, are pretty standard fare for digital image processing texts.

The discrete wavelet transform (DWT) is introduced in chapter 7. Without derivations and mathematical proofs, the computation of the DWT using subband coding is described and illustrated with examples. The chapter also explains the connection between wavelets and quadrature mirror filters and shows how to compute a wavelet function from the analysis and synthesis filters with examples. Chapter 8 is devoted to the discussion of image and video compression techniques. This rather extensive chapter describes the basic ideas used in the JPEG2000 and MPEG-2 standards.

Through chapter eight, the processes and algorithms described could be useful to anyone in the field of image processing. In chapter nine the author turns to concerns specific to digital cinema. He does this by addressing some issues behind the special requirements of digital cinema when he discusses two approaches to image compression that meet its requirements - QUALCOMM's system and a system based on the JPEG2000 compression standard. These two systems are interesting because the QUALCOMM system uses the Discrete Cosine Transform (DCT) as the compression vehicle while the latter uses the DWT for compression. The chapter is rounded out with a discussion of some of the characteristics of digital projectors.

One particular good characteristic of this book is Appendix D, which contains a variety of suggested MATLAB-based projects on the subject of digital image processing. Even if you already have several good texts on the subject of digital image processing, this one is excellent and has a unique contribution for those interested in applying image processing to the interesting field of digital cinema.