Mathematics Of Digital Images

Mathematics Of Digital Images Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Mathematics Of Digital Images book. This book definitely worth reading, it is an incredibly well-written.

Mathematics of Digital Images

Author : S. G. Hoggar
Publisher : Cambridge University Press
Page : 896 pages
File Size : 49,6 Mb
Release : 2006-09-14
Category : Computers
ISBN : 1139451359

Get Book

Mathematics of Digital Images by S. G. Hoggar Pdf

Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.

Digital Image Processing

Author : J M Blackledge
Publisher : Elsevier
Page : 826 pages
File Size : 51,9 Mb
Release : 2005-11-30
Category : Computers
ISBN : 9780857099464

Get Book

Digital Image Processing by J M Blackledge Pdf

This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems. Case studies reinforce the methods discussed, with examples of current research themes. Provides mathematical methods required to describe images, image formation and different imaging systems Outlines the principle techniques used for processing digital images Relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems

A Computational Introduction to Digital Image Processing

Author : Alasdair McAndrew
Publisher : CRC Press
Page : 555 pages
File Size : 53,5 Mb
Release : 2015-10-28
Category : Computers
ISBN : 9781482247336

Get Book

A Computational Introduction to Digital Image Processing by Alasdair McAndrew Pdf

Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial SoftwareA Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that

An Interdisciplinary Introduction to Image Processing

Author : Steven L. Tanimoto
Publisher : MIT Press
Page : 565 pages
File Size : 46,9 Mb
Release : 2012-04-27
Category : Computers
ISBN : 9780262017169

Get Book

An Interdisciplinary Introduction to Image Processing by Steven L. Tanimoto Pdf

Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

Image Processing

Author : Jonathan M. Blackledge
Publisher : Unknown
Page : 548 pages
File Size : 44,9 Mb
Release : 1997
Category : Computers
ISBN : UOM:39015041344501

Get Book

Image Processing by Jonathan M. Blackledge Pdf

Digital image processing technology has developed markedly over the last ten years, and more and more information is being conveyed through its display and analysis. The way in which image data is stored and processed is fundamental to all aspects of information technology. Examples include remote sensing using digital satellites; making diagnoses using conventional X-ray computed tomography; and research into the behavior of the human brain using magnetic resonance imaging. This book consists of twenty-one papers that collectively cover a broad range of image processing problems and the way in which their solutions are used in different areas of science and technology. The papers present details of the ways computers of varying processing power can be programmed to store images efficiently, resolve features and patterns that are either time consuming or impossible for humans to interpret, and develop machines that can "see" like humans. They also discuss a wide range of applications, including the use of lasers for studying dynamic behavior of mechanical components, and fractal geometry for recognizing patterns. The book will be useful to any engineer, scientist, and technologist interested in current research issues in image processing.

Digital Picture Processing

Author : Azriel Rosenfeld,Avinash C. Kak
Publisher : Elsevier
Page : 452 pages
File Size : 42,8 Mb
Release : 2014-01-09
Category : Computers
ISBN : 9780323139915

Get Book

Digital Picture Processing by Azriel Rosenfeld,Avinash C. Kak Pdf

The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.

Spatial Statistics and Digital Image Analysis

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Mathematical Sciences,Panel on Spatial Statistics and Image Processing
Publisher : National Academies Press
Page : 257 pages
File Size : 44,8 Mb
Release : 1991-02-01
Category : Mathematics
ISBN : 9780309043762

Get Book

Spatial Statistics and Digital Image Analysis by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Mathematical Sciences,Panel on Spatial Statistics and Image Processing Pdf

Spatial statistics is one of the most rapidly growing areas of statistics, rife with fascinating research opportunities. Yet many statisticians are unaware of those opportunities, and most students in the United States are never exposed to any course work in spatial statistics. Written to be accessible to the nonspecialist, this volume surveys the applications of spatial statistics to a wide range of areas, including image analysis, geosciences, physical chemistry, and ecology. The book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research.

Digital Image Processing

Author : Uvais Qidwai,C.H. Chen
Publisher : CRC Press
Page : 316 pages
File Size : 45,9 Mb
Release : 2009-10-15
Category : Computers
ISBN : 9781420079517

Get Book

Digital Image Processing by Uvais Qidwai,C.H. Chen Pdf

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB, without bogging down students with syntactical and debugging issues.One chapter can typically be compl

An Image Processing Tour of College Mathematics

Author : Yevgeniy V. Galperin
Publisher : CRC Press
Page : 349 pages
File Size : 46,8 Mb
Release : 2021-02-10
Category : Computers
ISBN : 9780429683220

Get Book

An Image Processing Tour of College Mathematics by Yevgeniy V. Galperin Pdf

An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of the college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase student awareness of recent developments in mathematical sciences, and to help students prepare for graduate studies. The topics covered include a library of elementary functions, basic concepts of descriptive statistics, probability distributions of functions of random variables, definitions and concepts behind first- and second-order derivatives, most concepts and techniques of traditional linear algebra courses, an introduction to Fourier analysis, and a variety of discrete wavelet transforms – all of that in the context of digital image processing. Features Pre-calculus material and basic concepts of descriptive statistics are reviewed in the context of image processing in the spatial domain. Key concepts of linear algebra are reviewed both in the context of fundamental operations with digital images and in the more advanced context of discrete wavelet transforms. Some of the key concepts of probability theory are reviewed in the context of image equalization and histogram matching. The convolution operation is introduced painlessly and naturally in the context of naïve filtering for denoising and is subsequently used for edge detection and image restoration. An accessible elementary introduction to Fourier analysis is provided in the context of image restoration. Discrete wavelet transforms are introduced in the context of image compression, and the readers become more aware of some of the recent developments in applied mathematics. This text helps students of mathematics ease their way into mastering the basics of scientific computer programming.

Theoretical Foundations of Digital Imaging Using MATLAB

Author : Leonid P. Yaroslavsky
Publisher : CRC Press
Page : 499 pages
File Size : 41,5 Mb
Release : 2012-11-26
Category : Mathematics
ISBN : 9781466592193

Get Book

Theoretical Foundations of Digital Imaging Using MATLAB by Leonid P. Yaroslavsky Pdf

Helping readers master digital imaging, this text presents a unified theoretical basis for understanding and designing methods of imaging and image processing. Designed for newcomers to imaging science and engineering, the book covers the subject in its entirety, from image formation to image perfecting. The author avoids using heavy mathematics and derives all formulas in full detail. To facilitate a deeper understanding of the major results, the book includes a number of exercises supported by MATLAB programs.

Math Physics Foundation of Advanced Remote Sensing Digital Image Processing

Author : Lei Yan,Hongying Zhao,Yi Lin,Yanbiao Sun
Publisher : Springer Nature
Page : 502 pages
File Size : 43,5 Mb
Release : 2023-07-31
Category : Technology & Engineering
ISBN : 9789819917785

Get Book

Math Physics Foundation of Advanced Remote Sensing Digital Image Processing by Lei Yan,Hongying Zhao,Yi Lin,Yanbiao Sun Pdf

This book focuses on the mathematical and physical foundations of remote sensing digital image processing and introduces key algorithms utilized in this area. The book fully introduces the basic mathematical and physical process of digital imaging, the basic theory and algorithm of pixel image processing, and the higher-order image processing algorithm and its application. This book skillfully and closely integrates theory, algorithms, and applications, making it simple for readers to understand and use. Researchers and students working in the fields of remote sensing, computer vision, geographic information science, electronic information, etc., can profit from this book. For their work and research in digital image processing, they can master the fundamentals of imaging and image processing techniques.

Digital Geometry

Author : Reinhard Klette,Azriel Rosenfeld
Publisher : Morgan Kaufmann
Page : 676 pages
File Size : 53,9 Mb
Release : 2004-08-06
Category : Computers
ISBN : 9781558608610

Get Book

Digital Geometry by Reinhard Klette,Azriel Rosenfeld Pdf

The first book on digital geometry by the leaders in the field.

Mathematical Methods in Time Series Analysis and Digital Image Processing

Author : Rainer Dahlhaus,Jürgen Kurths,Peter Maass,Jens Timmer
Publisher : Springer Science & Business Media
Page : 304 pages
File Size : 52,5 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9783540756323

Get Book

Mathematical Methods in Time Series Analysis and Digital Image Processing by Rainer Dahlhaus,Jürgen Kurths,Peter Maass,Jens Timmer Pdf

This coherent and articulate volume summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing. The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

Binary Digital Image Processing

Author : Stéphane Marchand-Maillet,Yazid M. Sharaiha
Publisher : Elsevier
Page : 368 pages
File Size : 50,7 Mb
Release : 1999-12-01
Category : Technology & Engineering
ISBN : 0080527825

Get Book

Binary Digital Image Processing by Stéphane Marchand-Maillet,Yazid M. Sharaiha Pdf

Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing. The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression). Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing Addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms Includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study Includes some practical applications of this work by reviewing some common applications Covers a range of topics, organised by theoretical field rather than being driven by problem definitions

Image Processing and Mathematical Morphology

Author : Frank Y. Shih
Publisher : CRC Press
Page : 439 pages
File Size : 49,8 Mb
Release : 2017-07-12
Category : Technology & Engineering
ISBN : 9781351834445

Get Book

Image Processing and Mathematical Morphology by Frank Y. Shih Pdf

In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition. Those working in these ever-evolving fields require a solid grasp of basic fundamentals, theory, and related applications—and few books can provide the unique tools for learning contained in this text. Image Processing and Mathematical Morphology: Fundamentals and Applications is a comprehensive, wide-ranging overview of morphological mechanisms and techniques and their relation to image processing. More than merely a tutorial on vital technical information, the book places this knowledge into a theoretical framework. This helps readers analyze key principles and architectures and then use the author’s novel ideas on implementation of advanced algorithms to formulate a practical and detailed plan to develop and foster their own ideas. The book: Presents the history and state-of-the-art techniques related to image morphological processing, with numerous practical examples Gives readers a clear tutorial on complex technology and other tools that rely on their intuition for a clear understanding of the subject Includes an updated bibliography and useful graphs and illustrations Examines several new algorithms in great detail so that readers can adapt them to derive their own solution approaches This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.