Camera Image Quality Benchmarking
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Camera Image Quality Benchmarking
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Author : Jonathan B. Phillips
language : en
Publisher: John Wiley & Sons
Release Date : 2017-11-14
Camera Image Quality Benchmarking written by Jonathan B. Phillips and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-14 with Technology & Engineering categories.
The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration. The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource: Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.
Camera Image Quality Benchmarking
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Author : Jonathan B. Phillips
language : en
Publisher: John Wiley & Sons
Release Date : 2018-01-09
Camera Image Quality Benchmarking written by Jonathan B. Phillips and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-09 with Technology & Engineering categories.
The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration. The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource: Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.
Basic Photographic Materials And Processes
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Author : Nanette L. Salvaggio
language : en
Publisher: Routledge
Release Date : 2019-09-23
Basic Photographic Materials And Processes written by Nanette L. Salvaggio and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-23 with Photography categories.
Basic Photographic Materials and Processes describes the three crucial stages of creating the perfect photograph—capture, processing and output—by providing a thorough technical investigation of modern, applied photographic technologies. This new edition has been fully revised and updated to explore digital image capture, processing and output. It covers a wide range of topics including: the scientific principles of measuring and recording light, the inner workings of digital cameras, image processing concepts, color management and photographic output to screen and print media. With these topics come in-depth discussions of extending dynamic range, image histograms, camera characterization, display capabilities, printer and paper technologies. It also includes applied exercises that provide the reader with a deeper understanding of the material through hands-on experiments and demonstrations, connecting theoretical concepts to real-world use. This comprehensive text provides photography students, educators and working professionals with the technical knowledge required to successfully create images and manage digital photographic assets. It is an essential resource for mastering the technical craft of photography.
Feature Extraction And Image Processing For Computer Vision
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Author : Mark Nixon
language : en
Publisher: Academic Press
Release Date : 2019-11-17
Feature Extraction And Image Processing For Computer Vision written by Mark Nixon and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-17 with Computers categories.
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
Understanding Color Management
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Author : Abhay Sharma
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-02
Understanding Color Management written by Abhay Sharma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-02 with Technology & Engineering categories.
An accessible but technically rigorous guide to color management for all users in all market segments Understanding Color Management, 2nd Edition explains the basics of color science as needed to understand color profiling software, color measuring instruments, and software applications, such as Adobe Photoshop and proofing RIPs. It also serves as a practical guide to International Color Consortium (ICC) profiles describing procedures for managing color with digital cameras, LCD displays, inkjet proofers, digital presses and web browsers and tablets. Updates since the first edition include new chapters on iPads, tablets and smartphones; home-cinema projection systems, as well as, with the industrial user in mind, new additional chapters on large-format inkjet for signage and banner printing, flexography, xerography and spot color workflows. Key features: Managing color in digital cameras with Camera Raw and DNG. Step-by-step approach to using color management in Adobe Photoshop CC. M0, M1, M2 instrument measurement modes explained. Testing of low cost, iPhone color measuring instruments. Updated to include iccMAX (Version 5.0) ICC profiles. G7 calibration explained with practical examples. Conventional printing conditions described - SNAP, GRACoL, SWOP, Fogra, CRPC. New sections on Pantone EXTENDED GAMUT Guide. Introduction to XML for color management applications. Understanding Color Management, 2nd Edition is a valuable resource for digital photographers, keen amateurs and end-users, graphic designers and artists, web masters, production and prepress operators and supervisors, color scientists and researchers, color consultants, and manufacturers. It is a must-have course text for college and university students of graphics arts, graphic communications, digital photography, print media, and imaging arts and sciences. The Society for Imaging Science and Technology (imaging.org) is an international professional society whose mission is to keep members and others aware of the latest scientific and technological developments in the greater field of imaging. A major objective of the Wiley-IS&T series is to advance this goal at the professional level. The broad scope of the series focuses on imaging in all its aspects, with particular emphasis on digital printing, electronic imaging, image assessment and reproduction, image archiving and preservation, color science, pre-press technologies, and hybrid imaging systems.
Billmeyer And Saltzman S Principles Of Color Technology
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Author : Roy S. Berns
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-14
Billmeyer And Saltzman S Principles Of Color Technology written by Roy S. Berns and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-14 with Science categories.
This book offers detailed coverage of color, colorants, the coloring of materials, and reproducing the color of materials through imaging. It combines the clarity and ease of earlier editions with significant updates about the advancement in color theory and technology. Provides guidance for how to use color measurement instrumentation, make a visual assessment, set a visual tolerance, and select a formulation Supplements material with numerical examples, graphs, and illustrations that clarify and explain complex subjects Expands coverage of topics including spatial vision, solid-state lighting, cameras and spectrophotometers, and translucent materials
Denoising Of Photographic Images And Video
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Author : Marcelo Bertalmío
language : en
Publisher: Springer
Release Date : 2018-09-10
Denoising Of Photographic Images And Video written by Marcelo Bertalmío and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-10 with Computers categories.
This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert contributors provide their insights into the fundamental challenges that remain in the field of denoising, examining how to properly model noise in real scenarios, how to tailor denoising algorithms to these models, and how to evaluate the results in a way that is consistent with perceived image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical perspectives to state-of-the-art algorithms, and from fast real-time techniques that can be implemented in-camera to powerful and computationally intensive methods for off-line processing. Topics and features: describes the basic methods for the analysis of signal-dependent and correlated noise, and the key concepts underlying sparsity-based image denoising algorithms; reviews the most successful variational approaches for image reconstruction, and introduces convolutional neural network-based denoising methods; provides an overview of the use of Gaussian priors for patch-based image denoising, and examines the potential of internal denoising; discusses selection and estimation strategies for patch-based video denoising, and explores how noise enters the imaging pipeline; surveys the properties of real camera noise, and outlines a fast approximation of nonlocal means filtering; proposes routes to improving denoising results via indirectly denoising a transform of the image, considering the right noise model and taking into account the perceived quality of the outputs. This concise and clearly written volume will be of great value to researchers and professionals working in image processing and computer vision. The book will also serve as an accessible reference for advanced undergraduate and graduate students in computer science, applied mathematics, and related fields. "The relentless quest for higher image resolution, greater ISO sensitivity, faster frame rates and smaller imaging sensors in digital imaging and videography has demanded unprecedented innovation and improvement in noise reduction technologies. This book provides a comprehensive treatment of all aspects of image noise including noise modelling, state of the art noise reduction technologies and visual perception and quantitative evaluation of noise.” Geoff Woolfe, Former President of The Society for Imaging Science and Technology. "This book on denoising of photographic images and video is the most comprehensive and up-to-date account of this deep and classic problem of image processing. The progress on its solution is being spectacular. This volume therefore is a must read for all engineers and researchers concerned with image and video quality." Jean-Michel Morel, Professor at Ecole Normale Supérieure de Cachan, France.
Computer Vision Eccv 2020
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Author : Andrea Vedaldi
language : en
Publisher: Springer Nature
Release Date : 2020-11-16
Computer Vision Eccv 2020 written by Andrea Vedaldi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-16 with Computers categories.
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Technology And Scholarly Communication
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Author : Richard Ekman
language : en
Publisher: Univ of California Press
Release Date : 1999-05-18
Technology And Scholarly Communication written by Richard Ekman and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-18 with Language Arts & Disciplines categories.
A collection of essays analyzing the results of several experimental projects in electronic publishing, all funded at least in part by the Mellon Foundation.
Iete Technical Review
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Author :
language : en
Publisher:
Release Date : 2001
Iete Technical Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Electronics categories.