Digital Image Processing

Rafael C. Gonzalez earned his B.S.E.E. from the University of Miami in 1965, as well as his M.E. and Ph.D. in electrical engineering from the University of Florida, Gainesville, in 1967 and 1970, respectively. In 1970, he joined the Department of Electrical and Computer Engineering at the University of Tennessee, Knoxville (UTK), where he rose through the ranks to Associate Professor in 1973, Professor in 1978, and Distinguished Service Professor in 1984.

In 1975, 1977, and 1980, Richard E. Woods received his B.S., M.S., and Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville. In 1981, he was appointed as an Assistant Professor of Electrical Engineering and Computer Science, and in 1986, he was named a Distinguished Engineering Alumnus.

Among the best books on image processing, Image Processing has been the foundational text for the study of digital image processing for over 40 years. The book is appropriate for college seniors and first-year graduate students who have prior knowledge of mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. This edition of the book, like all previous editions, focuses on fundamentals.

The book's 40th anniversary is commemorated in the 4th Edition, which is based on an extensive survey of faculty, students, and independent readers from 150 institutions in 30 countries. Deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching, have all benefited from their feedback. The material on image transforms was reorganized into a more cohesive presentation, and the discussion of spatial kernels and spatial filtering was greatly improved. Throughout the book, major revisions and additions were made to examples and homework exercises. For the first time, we included MATLAB projects at the end of each chapter and compiled support packages containing solutions, image databases, and sample code for you and your teacher.

Author: Richard E. Woods and Rafael C. Gonzalez

Link to buy: https://www.amazon.com/gp/aw/d/0133356728/

Ratings: 4.7 out of 5 stars (from 81 reviews)

Best Sellers Rank: #540,875 in Books

#14 in Computer Hardware DSPs

#23 in Signal Processing

#34 in Imaging Systems Engineering