β Scribed by Luiz Velho, Alejandro C. Frery, Jonas Gomes
No coin nor oath required. For personal study only.
Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing, with an emphasis on those aspects most used in computer graphics and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject.
As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.
Features:
β’ Includes 5 new chapters and major changes throughout
β’ Adopts a conceptual approach with emphasis on the mathematical concepts and their applications
β’Introduces an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods - used throughout to help understanding of the mathematical theory and its practical use
β’ Motivates through an elementary presentation, opting for an intuitive description where needed
β’ Contains adopted innovative formulations whenever necessary for clarity of exposition
β’ Provides numerous examples and illustrations, as an aid to understanding
β’ Focuses on the aspects of image processing that have importance in computer graphics and vision applications
β’ Offers a comprehensive introductory chapter for instructors
This comprehensive text imparts a good conceptual understanding of the topic, as a basis for further study, and is suitable both as a textbook and a professional reference. The current extended edition is a must-have resource and guide for all studying or interested in this field.
Front Matter....Pages I-XV
Introduction....Pages 1-11
Signal Theory....Pages 13-55
Random Processes....Pages 57-73
Fundamentals of Color....Pages 75-101
Color Systems....Pages 103-134
Digital Images....Pages 135-146
Operations on Images....Pages 147-186
Sampling and Reconstruction....Pages 187-216
Multiscale Analysis and Wavelets....Pages 217-254
Probabilistic Image Models....Pages 255-292
Color Quantization....Pages 293-311
Digital Halftoning....Pages 313-344
Image Compression....Pages 345-359
Combining Images....Pages 361-385
Warping and Morphing....Pages 387-412
Image Systems....Pages 413-437
Back Matter....Pages 439-471
Image Processing and Computer Vision; Computer Graphics; Computational Mathematics and Numerical Analysis
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<p><p>This book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017.</p><p></p><p>The 48 revised full papers presented in this volume were carefully reviewed
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated
<b>A cookbook of algorithms for common image processing applications</b>Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully upda