For courses in Image Processing and Computer Vision. Introduce your students to image
processing with the industry's most prized text For 40 years Image Processing has been the
foundational text for the study of digital image processing. The book is suited for students at
the college senior and first-year graduate level with prior background in mathematical analysis
vectors matrices probability statistics linear systems and computer programming. As in all
earlier editions the focus of this edition of the book is on fundamentals. The 4th Edition
which celebrates the book's 40th anniversary is based on an extensive survey of faculty
students and independent readers in 150 institutions from 30 countries. Their feedback led to
expanded or new coverage of topics such as 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. Major improvements were made in
reorganizing the material on image transforms into a more cohesive presentation and in the
discussion of spatial kernels and spatial filtering. Major revisions and additions were made to
examples and homework exercises throughout the book.
