Digital Image Interpolation in Matlab
Title | Digital Image Interpolation in Matlab PDF eBook |
Author | Chi-Wah Kok |
Publisher | John Wiley & Sons |
Total Pages | 336 |
Release | 2019-03-19 |
Genre | Computers |
ISBN | 1119119618 |
This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab® implementation. It includes all historically and practically important interpolation algorithms, accompanied with Matlab® source code on a website, which will assist readers to learn and understand the implementation details of each presented interpolation algorithm. Furthermore, sections in fundamental signal processing theories and image quality models are also included. The authors intend for the book to help readers develop a thorough consideration of the design of image interpolation algorithms and applications for their future research in the field of digital image processing. Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations Discusses in detail the assumptions and limitations of presented algorithms Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal based methods Features simulation results for comparative analysis, summaries and computational and analytical exercises at the end of each chapter Digital Image Interpolation in Matlab® is an excellent guide for researchers and engineers working in digital imaging and digital video technologies. Graduate students studying digital image processing will also benefit from this practical reference text.
Digital Image Processing
Title | Digital Image Processing PDF eBook |
Author | Uvais Qidwai |
Publisher | CRC Press |
Total Pages | 316 |
Release | 2009-10-15 |
Genre | Computers |
ISBN | 1420079514 |
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
Fundamentals of Digital Image Processing
Title | Fundamentals of Digital Image Processing PDF eBook |
Author | Chris Solomon |
Publisher | John Wiley & Sons |
Total Pages | 364 |
Release | 2011-07-05 |
Genre | Science |
ISBN | 1119957001 |
This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.
Partial Differential Equation Methods for Image Inpainting
Title | Partial Differential Equation Methods for Image Inpainting PDF eBook |
Author | Carola-Bibiane Schönlieb |
Publisher | Cambridge University Press |
Total Pages | 265 |
Release | 2015-10-26 |
Genre | Computers |
ISBN | 1107001005 |
This book introduces the mathematical concept of partial differential equations (PDE) for virtual image restoration. It provides insight in mathematical modelling, partial differential equations, functional analysis, variational calculus, optimisation and numerical analysis. It is addressed towards generally informed mathematicians and graduate students in mathematics with an interest in image processing and mathematical analysis.
Digital Image Processing Using MATLAB
Title | Digital Image Processing Using MATLAB PDF eBook |
Author | Rafael C. Gonzalez |
Publisher | |
Total Pages | 738 |
Release | 2010 |
Genre | Image processing |
ISBN | 9781283188920 |
Digital Image Processing
Title | Digital Image Processing PDF eBook |
Author | Rafael C. Gonzalez |
Publisher | |
Total Pages | |
Release | 2018 |
Genre | Image processing |
ISBN | 9789353062989 |
Practical Image and Video Processing Using MATLAB
Title | Practical Image and Video Processing Using MATLAB PDF eBook |
Author | Oge Marques |
Publisher | John Wiley & Sons |
Total Pages | 704 |
Release | 2011-08-04 |
Genre | Technology & Engineering |
ISBN | 111809347X |
UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®. Extra features of this book include: More than 30 MATLAB® tutorials, which consist of step-by-step guides toexploring image and video processing techniques using MATLAB® Chapters supported by figures, examples, illustrative problems, and exercises Useful websites and an extensive list of bibliographical references This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.