The Essential Guide to Image Processing

The Essential Guide to Image Processing
Author: Alan C. Bovik
Publsiher: Academic Press
Total Pages: 672
Release: 2009-07-08
ISBN 10: 9780080922515
ISBN 13: 0080922511
Language: EN, FR, DE, ES & NL

The Essential Guide to Image Processing Book Review:

A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000

The Essential Guide to Video Processing

The Essential Guide to Video Processing
Author: Alan C. Bovik
Publsiher: Academic Press
Total Pages: 778
Release: 2009-07-07
ISBN 10: 9780080922508
ISBN 13: 0080922503
Language: EN, FR, DE, ES & NL

The Essential Guide to Video Processing Book Review:

This comprehensive and state-of-the art approach to video processing gives engineers and students a comprehensive introduction and includes full coverage of key applications: wireless video, video networks, video indexing and retrieval and use of video in speech processing. Containing all the essential methods in video processing alongside the latest standards, it is a complete resource for the professional engineer, researcher and graduate student. Numerous conceptual and numerical examples All the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVC Coverage of the latest techniques in video security "Like its sister volume "The Essential Guide to Image Processing," Professor Bovik’s Essential Guide to Video Processing provides a timely and comprehensive survey, with contributions from leading researchers in the area. Highly recommended for everyone with an interest in this fascinating and fast-moving field." —Prof. Bernd Girod, Stanford University, USA * Edited by a leading person in the field who created the IEEE International Conference on Image Processing, with contributions from experts in their fields. * Numerous conceptual and numerical examples *All the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVC. * Coverage of the latest techniques in video security

Feature Extraction Image Processing for Computer Vision

Feature Extraction   Image Processing for Computer Vision
Author: Mark S. Nixon,Alberto S. Aguado
Publsiher: Academic Press
Total Pages: 609
Release: 2012
ISBN 10: 0123965497
ISBN 13: 9780123965493
Language: EN, FR, DE, ES & NL

Feature Extraction Image Processing for Computer Vision Book Review:

This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Feature Extraction Image Processing

Feature Extraction   Image Processing
Author: Mark Nixon
Publsiher: Elsevier
Total Pages: 424
Release: 2008-01-08
ISBN 10: 9780080556727
ISBN 13: 0080556728
Language: EN, FR, DE, ES & NL

Feature Extraction Image Processing Book Review:

Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. Essential reading for engineers and students working in this cutting edge field Ideal module text and background reference for courses in image processing and computer vision

Image Processing and Pattern Recognition

Image Processing and Pattern Recognition
Author: Frank Y. Shih
Publsiher: John Wiley & Sons
Total Pages: 552
Release: 2010-07-16
ISBN 10: 9780470590409
ISBN 13: 0470590408
Language: EN, FR, DE, ES & NL

Image Processing and Pattern Recognition Book Review:

A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Field Guide to Image Processing

Field Guide to Image Processing
Author: Khan Mohammad Iftekharuddin,Abdul A. S. Awwal
Publsiher: SPIE-International Society for Optical Engineering
Total Pages: 85
Release: 2012-01-01
ISBN 10: 9780819490216
ISBN 13: 0819490210
Language: EN, FR, DE, ES & NL

Field Guide to Image Processing Book Review:

Digital imaging is essential to many industries, such as remote sensing, entertainment, defense, and biotechnology, and many processing techniques have been developed over time. This Field Guide serves as a resource for commonly used image-processing concepts and tools; with this foundation, readers will better understand how to apply these tools to various problems encountered in the field. Topics include filtering, time-frequency-domain processing, and image compression, morphology, and restoration.

A Beginner s Guide to Image Preprocessing Techniques

A Beginner   s Guide to Image Preprocessing Techniques
Author: Jyotismita Chaki,Nilanjan Dey
Publsiher: CRC Press
Total Pages: 100
Release: 2018-10-25
ISBN 10: 0429805101
ISBN 13: 9780429805103
Language: EN, FR, DE, ES & NL

A Beginner s Guide to Image Preprocessing Techniques Book Review:

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed. Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing

Guide to Signals and Patterns in Image Processing

Guide to Signals and Patterns in Image Processing
Author: Apurba Das
Publsiher: Springer
Total Pages: 416
Release: 2015-04-22
ISBN 10: 3319141724
ISBN 13: 9783319141725
Language: EN, FR, DE, ES & NL

Guide to Signals and Patterns in Image Processing Book Review:

This text reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of worked-out numerical problems is also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain; reviews compression methods and formats for encoding images; discusses morphology-based image processing; investigates the modeling of object recognition in the human visual system; provides supplementary material, including MATLAB and C++ code, and interactive GUI-based modules, at an associated website.

Medical Image Processing

Medical Image Processing
Author: Geoff Dougherty
Publsiher: Springer Science & Business Media
Total Pages: 380
Release: 2011-07-25
ISBN 10: 9781441997791
ISBN 13: 1441997792
Language: EN, FR, DE, ES & NL

Medical Image Processing Book Review:

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.

Handbook of Image and Video Processing

Handbook of Image and Video Processing
Author: Alan C. Bovik
Publsiher: Academic Press
Total Pages: 1384
Release: 2010-07-21
ISBN 10: 9780080533612
ISBN 13: 0080533612
Language: EN, FR, DE, ES & NL

Handbook of Image and Video Processing Book Review:

55% new material in the latest edition of this “must-have for students and practitioners of image & video processing! This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today’s explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader’s own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994. * No other resource for image and video processing contains the same breadth of up-to-date coverage * Each chapter written by one or several of the top experts working in that area * Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines

Image Processing

Image Processing
Author: Yung-Sheng Chen
Publsiher: BoD – Books on Demand
Total Pages: 528
Release: 2009-12-01
ISBN 10: 9533070269
ISBN 13: 9789533070261
Language: EN, FR, DE, ES & NL

Image Processing Book Review:

There are six sections in this book. The first section presents basic image processing techniques, such as image acquisition, storage, retrieval, transformation, filtering, and parallel computing. Then, some applications, such as road sign recognition, air quality monitoring, remote sensed image analysis, and diagnosis of industrial parts are considered. Subsequently, the application of image processing for the special eye examination and a newly three-dimensional digital camera are introduced. On the other hand, the section of medical imaging will show the applications of nuclear imaging, ultrasound imaging, and biology. The section of neural fuzzy presents the topics of image recognition, self-learning, image restoration, as well as evolutionary. The final section will show how to implement the hardware design based on the SoC or FPGA to accelerate image processing.

Hands On Image Processing with Python

Hands On Image Processing with Python
Author: Sandipan Dey
Publsiher: Packt Publishing Ltd
Total Pages: 492
Release: 2018-11-30
ISBN 10: 178934185X
ISBN 13: 9781789341850
Language: EN, FR, DE, ES & NL

Hands On Image Processing with Python Book Review:

Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical coverage of every image processing task with popular Python libraries Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors Covers popular machine learning and deep learning techniques for complex image processing tasks Book Description Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing. What you will learn Perform basic data pre-processing tasks such as image denoising and spatial filtering in Python Implement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in Python Do morphological image processing and segment images with different algorithms Learn techniques to extract features from images and match images Write Python code to implement supervised / unsupervised machine learning algorithms for image processing Use deep learning models for image classification, segmentation, object detection and style transfer Who this book is for This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.

Digital Image Processing

Digital Image Processing
Author: D. Sundararajan
Publsiher: Springer
Total Pages: 468
Release: 2017-10-12
ISBN 10: 9811061130
ISBN 13: 9789811061134
Language: EN, FR, DE, ES & NL

Digital Image Processing Book Review:

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.

The Essential Guide to Computer Data Storage

The Essential Guide to Computer Data Storage
Author: Andrei Khurshudov
Publsiher: Prentice Hall Professional
Total Pages: 356
Release: 2001-01-01
ISBN 10: 0130927392
ISBN 13: 9780130927392
Language: EN, FR, DE, ES & NL

The Essential Guide to Computer Data Storage Book Review:

Explores recent innovations in information and data storage technology.

Image Processing and Acquisition using Python

Image Processing and Acquisition using Python
Author: Ravishankar Chityala,Sridevi Pudipeddi
Publsiher: CRC Press
Total Pages: 390
Release: 2014-02-19
ISBN 10: 1466583754
ISBN 13: 9781466583757
Language: EN, FR, DE, ES & NL

Image Processing and Acquisition using Python Book Review:

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 effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The last part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry.

The Essential Guide to Digital Signal Processing

The Essential Guide to Digital Signal Processing
Author: Richard G. Lyons,D. Lee Fugal
Publsiher: Prentice Hall
Total Pages: 208
Release: 2014-05-15
ISBN 10: 0133804739
ISBN 13: 9780133804737
Language: EN, FR, DE, ES & NL

The Essential Guide to Digital Signal Processing Book Review:

How signal processing works: clear, simple explanations in plain English Breakthrough DSP applications: from smartphones to healthcare and beyond Covers both digital and analog signals An indispensable resource for tech writers, marketers, managers, and other nonengineers The Complete DSP Guide for Businesspeople and Nontechnical Professionals Digital signal processing (DSP) technology is everywhere–each time you use a smartphone, tablet, or computer; play an MP3; watch a digital TV or DVD; get GPS directions; play a video game; take a digital photo; or even have an MRI, DSP technology is at work. Now, for the first time, The Essential Guide to Digital Signal Processing offers readers of all levels simple, plain-English explanations of digital and analog signals and modern DSP applications. Whether you sell technology, write about it, manage it, fix it, or invest in it, this is the book for you. Using everyday examples and simple diagrams, two leading DSP consultants and instructors completely demystify signal processing. You’ll discover what digital signals are, how they’re generated, and how they’re changing your life. You’ll learn all you need to know about digital signal collection, filtering, analysis, and more, and how DSP works in today’s most exciting devices and applications. Coverage includes How engineers understand and work with analog signal spectra and frequencies How digital signals are generated and used in modern electronic devices The surprising things that happen when analog signals are converted to digital form How (and why) engineers compute digital signal spectra with Fourier transforms What wavelets are and how they’re used everywhere, from medicine to the camera in your smartphone How digital filters are used in DSP applications Cutting-edge DSP applications, from automatic music-tuning software to medical EKG signal analysis A comprehensive glossary of signal processing terminology and acronyms You’ll gain a clear, conceptual understanding of all key signal processing operations and vocabulary. That means you’ll understand much of the “magic” built into today’s newest devices, and you’ll be ready to succeed in virtually any nontechnical role that requires DSP knowledge.

The Essential Guide to Flash CS4 AIR Development

The Essential Guide to Flash CS4 AIR Development
Author: Marco Casario
Publsiher: Apress
Total Pages: 720
Release: 2009-01-23
ISBN 10: 1430215895
ISBN 13: 9781430215899
Language: EN, FR, DE, ES & NL

The Essential Guide to Flash CS4 AIR Development Book Review:

We all know what a great tool Flash is for creating dynamic, engaging web content, and Adobe's CS4 release just makes it even better. Among the newer features is the ability to take all the power of Flash for the Web and put in on the desktop using AIR. AIR capability is built right into the Flash CS4 integrated development environment, which means you can start writing desktop applications right away. This book not only covers the essentials of using Flash with AIR (and AIR with Flash), but also shows you how to extend application functionality in new ways. Once you've got Flash on the desktop, you're no longer constrained by the limitations of running inside a web browser. You'll have access to the local desktop file system, and AIR adds SQLite functionality for native database support. And just as Flash animations have a consistent look and feel across browsers, AIR allows you to create applications that work consistently across operating systems—Mac OS X, Windows, and Linux. For any Flash developer who wants to go from the Web to the desktop (and who doesn't?), this book is required reading. It not only tells you how to do it, but is full of practical, easy-to-follow examples that will have you building desktop AIR applications with Flash in no time. Expanding your existing Flash skills with the Essential Guide to Flash CS4 AIR Development will make you an even more potent and indispensable force on any development team!

Advanced Image Processing Techniques and Applications

Advanced Image Processing Techniques and Applications
Author: Kumar, N. Suresh,Sangaiah, Arun Kumar,Arun, M.,Anand, S.
Publsiher: IGI Global
Total Pages: 439
Release: 2017-02-10
ISBN 10: 1522520546
ISBN 13: 9781522520542
Language: EN, FR, DE, ES & NL

Advanced Image Processing Techniques and Applications Book Review:

Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Markov Random Fields for Vision and Image Processing

Markov Random Fields for Vision and Image Processing
Author: Andrew Blake,Pushmeet Kohli,Carsten Rother
Publsiher: MIT Press
Total Pages: 472
Release: 2011-07-22
ISBN 10: 0262297442
ISBN 13: 9780262297448
Language: EN, FR, DE, ES & NL

Markov Random Fields for Vision and Image Processing Book Review:

State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications. After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools.

An Essential Guide to Electronic Material Surfaces and Interfaces

An Essential Guide to Electronic Material Surfaces and Interfaces
Author: Leonard J. Brillson
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2016-08-01
ISBN 10: 111902711X
ISBN 13: 9781119027119
Language: EN, FR, DE, ES & NL

An Essential Guide to Electronic Material Surfaces and Interfaces Book Review:

Why surfaces and interfaces of electronic materials -- Semiconductor electronic and optical properties -- Electrical measurements of surfaces and interfaces -- Localized states at surfaces and interfaces -- Ultrahigh vacuum technology -- Surface and interface analysis -- Surface and interface spectroscopies -- Dynamical depth-dependent analysis and imaging -- Electron beam diffraction and microscopy of atomic-scale geometrical structure -- Scanning probe techniques -- Optical spectroscopies -- Electronic material surfaces -- Surface electronic applications -- Semiconductor heterojunctions -- Metal-semiconductor interfaces -- Next generation surfaces and interfaces