Digital Image Processing: A Signal Processing and Algorithmic Approach

Digital Image Processing: A Signal Processing and Algorithmic Approach pdf

Digital Image Processing – 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.

Review – Digital Image Processing

“11 best new signal processing ebooks to read in 2018″bookauthority.org/books/new-signal-processing-ebooks

“This textbook treats the topic from the very practical point of view,using a signal processing and algorithmic, approach. This means plentyof numerical examples, figures, tables, and algorithms, and no theoremsand proofs. Such an approach makes the book easy to follow by a reader…. This textbook is intended for engineers and computer scienceprofessionals. It can be useful for undergraduate and graduate levelcourses, and for self-study.” (Agnieszka Lisowska, zbMATH 1392.94002,2018)

From the Back Cover

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.

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