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Digital Image Processing with Application to Digital Cinema Paperback – Import, 25 Jan 2006
About the Author
K.S. Thyagarajan is a researcher with Micro USA, working on the development of algorithms to process remote surveillance iamges. As a principal engineer for Qualcomm for five years, he researched and developed high quality video compression systems for digital cinema applications. As a professor at San Diego State University for twenty years he taught courses in circuits, signals & systems, analog and digital communications, digital signal processing and image processing and conducted research in video compression.
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Most helpful customer reviews on Amazon.com
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.
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!