[PDF] Theoretical Foundations Of Digital Imaging Using Matlab - eBooks Review

Theoretical Foundations Of Digital Imaging Using Matlab


Theoretical Foundations Of Digital Imaging Using Matlab
DOWNLOAD

Download Theoretical Foundations Of Digital Imaging Using Matlab PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Theoretical Foundations Of Digital Imaging Using Matlab book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Theoretical Foundations Of Digital Imaging Using Matlab


Theoretical Foundations Of Digital Imaging Using Matlab
DOWNLOAD
Author : Leonid P. Yaroslavsky
language : en
Publisher: CRC Press
Release Date : 2012-11-26

Theoretical Foundations Of Digital Imaging Using Matlab written by Leonid P. Yaroslavsky and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-26 with Technology & Engineering categories.


With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the subject in its entirety, from image formation to image perfecting. Based on the author’s 50 years of working and teaching in the field, the text first addresses the problem of converting images into digital signals that can be stored, transmitted, and processed on digital computers. It then explains how to adequately represent image transformations on computers. After presenting several examples of computational imaging, including numerical reconstruction of holograms and virtual image formation through computer-generated display holograms, the author introduces methods for image perfect resampling and building continuous image models. He also examines the fundamental problem of the optimal estimation of image parameters, such as how to localize targets in images. The book concludes with a comprehensive discussion of linear and nonlinear filtering methods for image perfecting and enhancement. Helping you master digital imaging, this book presents a unified theoretical basis for understanding and designing methods of imaging and image processing. To facilitate a deeper understanding of the major results, it offers a number of exercises supported by MATLAB programs, with the code available at www.crcpress.com.



Theoretical Foundations Of Digital Imaging Using Matlab


Theoretical Foundations Of Digital Imaging Using Matlab
DOWNLOAD
Author : Leonid P. Yaroslavsky
language : en
Publisher: CRC Press
Release Date : 2012-11-26

Theoretical Foundations Of Digital Imaging Using Matlab written by Leonid P. Yaroslavsky and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-26 with Mathematics categories.


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.



How To Optimally Sample And Resample Images Theory And Methods Using Matlab


How To Optimally Sample And Resample Images Theory And Methods Using Matlab
DOWNLOAD
Author : Leonid Yaroslavsky
language : en
Publisher: Bentham Science Publishers
Release Date : 2020-10-19

How To Optimally Sample And Resample Images Theory And Methods Using Matlab written by Leonid Yaroslavsky and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-19 with Technology & Engineering categories.


How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resampling. Readers will be informed about relevant principles and applications of image sampling with the help of MATLAB©. The information presented in the book, across 9 chapters, will help readers to understand processes that make analog to digital signal conversion efficient for modern imaging devices. Key Features: - Introduces readers to classical sampling theorems - Presents updated information about image sampling and resampling formulations with reference to theoretical minimums - Presents information on practical and fast sampling algorithms - Presents information about interpolation error-free methods of image resampling - Presents examples of applications of the described methods - Is supplemented by a MATLAB© program package for exercising knowledge. The book is a suitable handbook for engineers and technicians involved in imaging engineering and related applications as well as engineering students learning about digital signal processing techniques.



Digital Image Processing


Digital Image Processing
DOWNLOAD
Author : Uvais Qidwai
language : en
Publisher: CRC Press
Release Date : 2009-10-15

Digital Image Processing written by Uvais Qidwai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-15 with Computers categories.


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 completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice. This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.



An Image Processing Tour Of College Mathematics


An Image Processing Tour Of College Mathematics
DOWNLOAD
Author : Yevgeniy V. Galperin
language : en
Publisher: CRC Press
Release Date : 2021-02-10

An Image Processing Tour Of College Mathematics written by Yevgeniy V. Galperin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-10 with Computers categories.


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.



Optical Remote Sensing Of Ocean Hydrodynamics


Optical Remote Sensing Of Ocean Hydrodynamics
DOWNLOAD
Author : Victor Raizer
language : en
Publisher: CRC Press
Release Date : 2019-03-04

Optical Remote Sensing Of Ocean Hydrodynamics written by Victor Raizer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Technology & Engineering categories.


Optical Remote Sensing is one of the main technologies used in sea surface monitoring. Optical Remote Sensing of Ocean Hydrodynamics investigates and demonstrates capabilities of optical remote sensing technology for enhanced observations and detection of ocean environments. It provides extensive knowledge of physical principles and capabilities of optical observations of the oceans at high spatial resolution, 1-4m, and on the observations of surface wave hydrodynamic processes. It also describes the implementation of spectral-statistical and fusion algorithms for analyses of multispectral optical databases and establishes physics-based criteria for detection of complex wave phenomena and hydrodynamic disturbances including assessment and management of optical databases. This book explains the physical principles of high-resolution optical imagery of the ocean surface, discusses for the first time the capabilities of observing hydrodynamic processes and events, and emphasizes the integration of optical measurements and enhanced data analysis. It also covers both the assessment and the interpretation of dynamic multispectral optical databases and includes applications for advanced studies and nonacoustic detection. This book is an invaluable resource for researches, industry professionals, engineers, and students working on cross-disciplinary problems in ocean hydrodynamics, optical remote sensing of the ocean and sea surface remote sensing. Readers in the fields of geosciences and remote sensing, applied physics, oceanography, satellite observation technology, and optical engineering will learn the theory and practice of optical interactions with the ocean.



Progress In Optics


Progress In Optics
DOWNLOAD
Author :
language : en
Publisher: Academic Press
Release Date : 2015-06-14

Progress In Optics written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-14 with Science categories.


The Progress in Optics series contains more than 300 review articles by distinguished research workers, which have become permanent records for many important developments, helping optical scientists and optical engineers stay abreast of their fields. - Comprehensive, in-depth reviews - Edited by the leading authority in the field



Image Processing And Acquisition Using Python


Image Processing And Acquisition Using Python
DOWNLOAD
Author : Ravishankar Chityala
language : en
Publisher: CRC Press
Release Date : 2014-02-19

Image Processing And Acquisition Using Python written by Ravishankar Chityala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-19 with Mathematics categories.


Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectiv



Variational Methods In Image Processing


Variational Methods In Image Processing
DOWNLOAD
Author : Luminita A. Vese
language : en
Publisher: CRC Press
Release Date : 2015-11-18

Variational Methods In Image Processing written by Luminita A. Vese and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Computers categories.


Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler–Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices. The book addresses the most important problems in image processing along with other related problems and applications. Each chapter presents the problem, discusses its mathematical formulation as a minimization problem, analyzes its mathematical well-posedness, derives the associated Euler–Lagrange equations, describes the numerical approximations and algorithms, explains several numerical results, and includes a list of exercises. MATLAB® codes are available online. Filled with tables, illustrations, and algorithms, this self-contained textbook is primarily for advanced undergraduate and graduate students in applied mathematics, scientific computing, medical imaging, computer vision, computer science, and engineering. It also offers a detailed overview of the relevant variational models for engineers, professionals from academia, and those in the image processing industry.



Geometric Modeling And Mesh Generation From Scanned Images


Geometric Modeling And Mesh Generation From Scanned Images
DOWNLOAD
Author : Yongjie Jessica Zhang
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Geometric Modeling And Mesh Generation From Scanned Images written by Yongjie Jessica Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Computers categories.


Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering. Based on the author’s recent research and course at Carnegie Mellon University, the text explains the fundamentals of medical imaging, image processing, computational geometry, mesh generation, visualization, and finite element analysis. It also explores novel and advanced applications in computational biology, medicine, materials science, and other engineering areas. One of the first to cover this emerging interdisciplinary field, the book addresses biomedical/material imaging, image processing, geometric modeling and visualization, FEM, and biomedical and engineering applications. It introduces image-mesh-simulation pipelines, reviews numerical methods used in various modules of the pipelines, and discusses several scanning techniques, including ones to probe polycrystalline materials. The book next presents the fundamentals of geometric modeling and computer graphics, geometric objects and transformations, and curves and surfaces as well as two isocontouring methods: marching cubes and dual contouring. It then describes various triangular/tetrahedral and quadrilateral/hexahedral mesh generation techniques. The book also discusses volumetric T-spline modeling for isogeometric analysis (IGA) and introduces some new developments of FEM in recent years with applications.