Digital Image Processing: A Signal Processing and Algorithmic Approach

Description

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. Front Matter ....Pages i-xvii Introduction (D. Sundararajan)....Pages 1-21 Image Enhancement in the Spatial Domain (D. Sundararajan)....Pages 23-64 Fourier Analysis (D. Sundararajan)....Pages 65-107 Image Enhancement in the Frequency Domain (D. Sundararajan)....Pages 109-141 Image Restoration (D. Sundararajan)....Pages 143-161 Geometric Transformations and Image Registration (D. Sundararajan)....Pages 163-188 Image Reconstruction from Projections (D. Sundararajan)....Pages 189-216 Morphological Image Processing (D. Sundararajan)....Pages 217-256 Edge Detection (D. Sundararajan)....Pages 257-280 Segmentation (D. Sundararajan)....Pages 281-308 Object Description (D. Sundararajan)....Pages 309-344 Object Classification (D. Sundararajan)....Pages 345-362 Image Compression (D. Sundararajan)....Pages 363-405 Color Image Processing (D. Sundararajan)....Pages 407-438 Back Matter ....Pages 439-468