Digital Image Processing (English) 2nd Edition by Richard E Woods, Rafael C Gonzalez
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
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.
Table of Contents
- Digital Image Fundamentals.
- Image Enhancement in the Spatial Domain.
- Image Enhancement in the Frequency Domain.
- Image Restoration.
- Color Image Processing.
- Wavelets and Multiresolution Processing.
- Image Compression.
- Morphological Image Processing.
- Image Segmentation.
- Representation and Description.
- Object Recognition
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