Book Reviews

Image Processing: Principles and Applications

J. Electron. Imaging. 15(3), 039901 (August 31, 2006). doi:10.1117/1.2348895
History: Published August 31, 2006
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This book covers the classical methods in image processing and introduces many recent applications. The described applications span a broad range of fields, including medical and dental imaging, multimedia search and retrieval, and tracking and security.

The book opens with a description of the physical process of image formation and color perception. Several color spaces are defined and several deinterlacing algorithms are compared, with the authors concluding that their algorithm produces better image quality than the others.

Next, there is a thorough description of image transformations, including principle component analysis, Fourier analysis, and wavelet transforms. This is probably the strongest section of the book and is clearly the forte of the authors.

A description of image enhancement follows, describing filtering, edge detection, histogram operations, and the like. This chapter contains much of the classical image processing descriptions familiar from books written by authors such as Pratt or Gonzalez and Woods. Not much new content here.

Next come the application examples. There are descriptions of pattern recognition, clustering, neural networks, and content-based image retrieval. Following that is a chapter on biomedical image processing and biometrics. More applications include tracking and remote sensing. Finally there is an extremely thorough description of image compression and JPEG 2000.

The author’s intent of providing introduction to a wide range of image processing topics is admirable. The descriptions of image transforms and image compression are very good. However, large portions of the book are very poorly written. (For example, the section on biomedical imaging stands out as the worst.) There are literally hundreds, if not thousands, of grammatical errors in this book. If the authors work with a skilled proofreader and are willing to devote the necessary time to revision of the text, this book has the potential to become a very useful book for students who want a current look at the field of image processing. In its current form, it is often hard to extract the intended meaning from the words that are on the pages, and it can’t be recommended.

Andrew Gallagher received a BSEE from Geneva College in Beaver Falls, Pennsylvania, in 1996 and joined the Eastman Kodak Company, working in the field of digital imaging. In 2000, he received an MSEE from Rochester Institute of Technology with a. He holds more than 40 U.S. patents related to image enhancement, imaging devices, and imaging systems. Currently, he is a student at Carnegie-Mellon University in Pittsburgh, Pennsylvania, pursuing a PhD in electrical engineering.



Tinku Acharya and Ajoy K. Ray
"Image Processing: Principles and Applications", J. Electron. Imaging. 15(3), 039901 (August 31, 2006). ;




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