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Crisp, clear, and accompanied by a lot of illustrations, this text is a guide to the fundamental concepts of digital image processing. Summary Of The Book Digital Image Processing involves the use of digital algorithms to process images. This allows for enhancements, modifications, and other manipulations of images using a computer. This is a sub-domain of digital signal processing, but it is a field of study in itself. This textbook has been one of the most popular study materials in this field for over thirty years. The book begins with an introduction to the field of digital image processing and an overview of imaging methods like gamma-ray imaging, x-ray imaging, imaging in the radio band etc. It then covers the fundamentals of digital images. This section starts with a study of visual perception, which is the image formation in the eye. It then studies light and the electromagnetic spectrum, image sensing and acquisition, and sampling and quantization. This section also looks at the relationships between pixels and provides an introduction to the mathematical tools used in digital image processing. The next section focuses on intensity transformation and spatial filtering. After this, filtering in the frequency domain is covered, followed by image restoration and reconstruction, and color image processing. Wavelets and multi-resolution processing, image compression, and morphological image processing are the next three topics covered in detail. This is followed by image segmentation, representation and description, and object recognition. Each chapter ends with a concise summary of the concepts, followed by list of references and further reading, and a set of problems to review the concepts explained in the chapter. The appendix contains code tables used in image compression methods like JPEG and CCITT. Salient Features Accessible mathematical complexity Ensures understanding by students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, and rudimentary computer programming. Heavily illustrated. Ensures easy comprehension of material, especially for today's visual learners. Chapter-end Problem sets. Provides students with more opportunities for hands-on practice. About the Authors Rafael C. Gonzales is a Professor Emeritus at the University of Tennessee, Knoxville (UTK). He has several years of experience working in the academic and industrial areas of digital image processing. He has published several technical articles, two books, and four textbooks in the fields of image processing, pattern recognition, and robotics. Other books by him include Pattern Recognition Principles (Applied Mathematics and Computation, No. 7) and Syntactic Pattern Recognition: An Introduction (Applied Mathematics and Computation; No. 14). After graduating with a degree in Electrical Engineering from the University of Miami, he earned an ME and a PhD from the University of Florida. He then joined the faculty of UTK. He was with the Electrical and Computer Engineering Department at the university. He became a Professor in 1978, a Distinguished Service Professor in 1984, and then served as Chairman of the department from 1994 to 1997. He founded the Image and Pattern Analysis Laboratory and the Robotics and Computer Vision Laboratory at the University. He also co-founded Perceptics Corporation and served as its President until 1992. He has worked with the government and corporate institutions as a consultant in the fields of image processing, pattern recognition, and machine learning. Among the many honors he has received, some are, the 1978 UTK Chancellor’s Research Scholar Award, the 1980 M.E. Brooks Distinguished Professor Award, the 1987 IEEE Outstanding Engineer Award for Commercial Development in Tennessee, and the 1993 Automated Imaging Association’s National Award For Technology Development. Richard E. Woods earned his bachelor’s and master’s degrees and doctorate in electrical engineering from the University of Tennessee, Knoxville (UTK). He has co-authored another book, Digital Image Processing Using MATLAB. He worked as a computer applications engineer at Union Carbide, then as the Assistant Professor of Electrical Engineering and Computer Science at UTK. He was a co-founder of Perceptics Corporation and served as its Vice-President. He was responsible for many of the company’s innovative products in the fields of quantitative image analysis and autonomous decision making. Most recently, he founded a company specializing in the development of handheld systems for medical applications, Med Data Interactive. Dr. Woods is a member of many professional societies like the IEEE, Tau Beta Pi, and Phi Beta Kappa Phi.