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.
This open book is licensed under a Open Publication License (OPL). You can download Image Processing for Engineers ebook for free in PDF format (58.9 MB).
Table of Contents
Review of 1-D Signals and Systems
2-D Images and Systems
Deterministic Approach to Image Restoration
Wavelets and Compressed Sensing
Random Variables, Processes, and Fields
Stochastic Denoising and Deconvolution
Color Image Processing
Supervised Learning and Classification