Image Processing for Engineers Hardcover ? March 30, 2018

[from the Preface] Designed for a course on image processing (IP) aimed at both graduate students as well as undergraduates in their senior year, in any field of engineering, this book starts with an overview in Chapter 1 of how imaging sensors—from cameras to radars to MRIs and CAT—form images, and then proceeds to cover a wide array of image processing topics. The IP topics include: image interpolation, magnification, thumbnails, and sharpening, edge detection, noise filtering, de-blurring of blurred images, supervised and unsupervised learning, and image segmentation, among many others. As a prelude to the chapters focused on image processing (Chapters 3–12), the book offers in Chapter 2 a review of 1-D signals and systems, borrowed from our 2018 book Signals and Systems: Theory and Applications, by Ulaby and Yagle.

Andrew E. Yagle is professor of Electrical Engineering and Computer Science at the University of Michigan. He is the recipient of several research and teaching awards including the NSF Presidential Young Investigator, ONR Young Investigator, College of Engineering Teaching Excellence Award, the Eta Kappa Nu Professor of the Year Award, and the Class of 1938E Distinguished Service Award.
 
He is a past member of the IEEE Signal Processing Society Board of Governors, the Image and Multidimensional Signal Processing Technical Committee, the Digital Signal Processing Technical Committee, and the Signal Processing Theory and Methods Technical Committee. He is a past associate editor of the IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Multidimensional Systems and Signal Processing, and the IEEE Transactions on Image Processing. 


Fawwaz T. Ulaby is the Emmett Leith Distinguished Professor of Electrical Engineering and Computer Science, and former Vice President for Research at the University of Michigan. He is a member of the National Academy of Engineering and recipient of the IEEE James H. Mulligan, Jr. Education Medal. His Applied Electromagnetics textbook is used at over 100 US universities.