Includes bibliographical references and index.

Table of Contents -- Introduction to Digital Image Processing -- Introduction -- Typical Image Processing Operations -- History of Digital Image Processing -- Human Visual System -- Classification of Digital images -- Digital Image File Types -- Components of an Image Processing system -- Applications of Digital Image Processing -- Summary -- Digital Image representation -- Digital Image -- Sampling and Quantization -- Color models -- Basic Relationships between pixels -- Adjacency -- Digital Path -- Connected set -- Summary -- Mathematical Tools for Image Processing -- Introduction -- Distance Function -- Convexity Property -- Topological Properties -- Interpolation -- Circularly symmetric signals -- Statistics -- Transforms -- Wavelet Transform -- Discrete Cosine Transform -- Walsh Transform -- Matrix Operations -- Set Theory -- Summary -- Image Enhancement in Spatial Domain -- Introduction -- Point Processing -- Mask Processing -- Smoothing Filters -- Sharpening Filters -- Bit-plane slicing -- Arithmetic operations -- Logical Operations -- Geometric Operations -- Image padding -- Histogram and Histogram processing -- Summary -- -- Image Processing in Frequency Domain -- Introduction -- Low-Pass Filtering in Frequency Domain -- High-Pass Filtering -- High-Frequency Emphasis Filter -- Summary -- Image Denoising -- Introduction -- Image Noise Types -- Image Denoising -- Performance Evaluation of Denoising Techniques -- Summary -- Image Segmentation -- Introduction -- Techniques of Image Segmentation -- Discontinuity-based Image Segmentation Techniques -- Thresholding-based image segmentation -- Region-based image segmentation -- Watershed-based image segmentation -- Summary -- Mathematical Morphology -- Introduction -- Morphological Operations -- Summary -- Image Understanding -- --Introduction -- Contour-based shape representation and description -- Boundary Segments Description -- Object Recognition -- Summary -- Image Compression -- Introduction -- History of compression technologies -- Image File types -- Compression quality measures -- Image Redundancy -- Fundamental Building Blocks of Image Compression -- Image compression model -- Image compression standards -- Summary -- Image Retrieval -- Introduction -- Text Based Image Retrieval System -- Content based image retrieval systems -- Image pre-processing -- Feature Extraction -- Feature selection -- Similarity measure and performance evaluation -- Summary -- Digital Image Forgery -- Introduction -- History of image forgery -- Image forgery detection techniques -- Summary -- Appendix A -- Appendix B -- Appendix C -- -- -- -- -- -- -- -- -- -- --.

This book introduces the fundamental concepts of modern digital image processing. It aims to help the students, scientists, and practitioners to understand the concepts through clear explanations, illustrations and examples. The discussion of the general concepts is supplemented with examples from applications and ready-to-use implementations of concepts in MATLAB®. Program code of some important concepts in programming language 'C' is provided. To explain the concepts, MATLAB® functions are used throughout the book. MATLAB® Version 9.3 (R2017b), Image Acquisition Toolbox Version 5.3 (R2017b), Image Processing Toolbox, Version 10.1 (R2017b) have been used to create the book material. Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic manner.

Also available in print format.