The Essential Guide to Image Processing Book
Score: 4
From 1 Ratings

The Essential Guide to Image Processing


  • Author : Alan C. Bovik
  • Publisher : Academic Press
  • Release Date : 2009-07-08
  • Genre: Computers
  • Pages : 672
  • ISBN 10 : 0080922511
  • Total Read : 76
  • File Size : 18,6 Mb

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The Essential Guide to Image Processing Summary:

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 Book

The Essential Guide to Video Processing


  • Author : Alan C. Bovik
  • Publisher : Academic Press
  • Release Date : 2009-07-07
  • Genre: Technology & Engineering
  • Pages : 778
  • ISBN 10 : 0080922503
  • Total Read : 97
  • File Size : 17,7 Mb

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The Essential Guide to Video Processing Summary:

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 and Image Processing for Computer Vision Book

Feature Extraction and Image Processing for Computer Vision


  • Author : Mark Nixon
  • Publisher : Academic Press
  • Release Date : 2019-11-17
  • Genre: Computers
  • Pages : 650
  • ISBN 10 : 9780128149775
  • Total Read : 87
  • File Size : 12,9 Mb

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Feature Extraction and Image Processing for Computer Vision Summary:

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. 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 link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour) Good balance between providing a mathematical background and practical implementation Detailed and explanatory of algorithms in MATLAB and Python

Markov Random Fields for Vision and Image Processing Book

Markov Random Fields for Vision and Image Processing


  • Author : Andrew Blake
  • Publisher : MIT Press
  • Release Date : 2011-07-22
  • Genre: Computers
  • Pages : 472
  • ISBN 10 : 9780262297448
  • Total Read : 66
  • File Size : 16,7 Mb

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Markov Random Fields for Vision and Image Processing Summary:

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.

Handbook of Image and Video Processing Book
Score: 4.5
From 5 Ratings

Handbook of Image and Video Processing


  • Author : Alan C. Bovik
  • Publisher : Academic Press
  • Release Date : 2010-07-21
  • Genre: Technology & Engineering
  • Pages : 1384
  • ISBN 10 : 9780080533612
  • Total Read : 59
  • File Size : 11,5 Mb

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Handbook of Image and Video Processing Summary:

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

The Digital Negative Book
Score: 4
From 1 Ratings

The Digital Negative


  • Author : Jeff Schewe
  • Publisher : Peachpit Press
  • Release Date : 2015-08-29
  • Genre: Computers
  • Pages : 336
  • ISBN 10 : 9780134033396
  • Total Read : 73
  • File Size : 17,5 Mb

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The Digital Negative Summary:

Shooting in the raw format gives digital photographers complete control over every aspect of image quality. The Digital Negative is devoted exclusively to the topic and shows you how to make the most of that control to extract the best-possible raw rendering of your digital negatives and to use Photoshop to achieve the highest quality in your images. In this update of his best-selling book, renowned photographer and author Jeff Schewe outlines a foolproof process for working with these digital negatives and presents his real-world expertise on optimizing raw images. You’ll learn hands-on techniques for exposing and shooting for raw image capture and developing a raw processing workflow, as well as Photoshop techniques for perfecting the master image, converting color to black and white, and processing for panoramic and HDR images. This second edition covers all the major updates and new features in Camera Raw, Lightroom, and Photoshop, such as GPU acceleration, Radial Filters, Pano Merge, and more. Get the best tone and color from your digital negatives. Use Lightroom and Camera Raw sharpening controls to maximize image quality. Produce stunning black and white images. Learn how to remove people from photos in Photoshop using Smart Objects and Layer Blending. Use HDR in Camera Raw and Lightroom. And much more! Visit the book’s companion website at TheDigitalNegativeBook.com for sample images and more.

Image Processing and Pattern Recognition Book

Image Processing and Pattern Recognition


  • Author : Frank Y. Shih
  • Publisher : John Wiley & Sons
  • Release Date : 2010-07-16
  • Genre: Technology & Engineering
  • Pages : 552
  • ISBN 10 : 0470590408
  • Total Read : 89
  • File Size : 20,8 Mb

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Image Processing and Pattern Recognition Summary:

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.

Industrial Image Processing Book

Industrial Image Processing


  • Author : Christian Demant
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Computers
  • Pages : 353
  • ISBN 10 : 9783642585500
  • Total Read : 96
  • File Size : 19,8 Mb

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Industrial Image Processing Summary:

This practical introduction focuses on how to build integrated solutions to industrial vision problems from individual algorithms. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck software package, included on CD-ROM.