“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)
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.
