About this book
This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Image Processing Computer Vision Image Analysis Image Restoration Image Registration Image Reconstruction Edge Detection Segmentation
“This textbook treats the topic from the very practical point of view, using a signal processing and algorithmic, approach. This means plenty of numerical examples, figures, tables, and algorithms, and no theorems and proofs. Such an approach makes the book easy to follow by a reader. … This textbook is intended for engineers and computer science professionals. It can be useful for undergraduate and graduate level courses, and for self-study.” (Agnieszka Lisowska, zbMATH 1392.94002, 2018)