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:
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.
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JONATHAN B. PHILLIPS, is a Staff Image Scientist at Google, USA. He is a United States delegate to the technical committee ISO/TC 42 Photography and a major contributor to the IEEE Camera Phone Image Quality (CPIQ) initiative.
HENRIK ELIASSON, PHD, is an image sensor and image analysis specialist at Eclipse Optics, Sweden. He is a senior member of SPIE.
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:
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.
WILEY-IS&T SERIES IN IMAGING SCIENCE AND TECHNOLOGY
IS&T, the Society for Imaging Science and Technology (imaging.org), is an international, professional society that brings together academia, industry, and government to discuss and disseminate information on the broad field of imaging, with particular emphasis on electronic imaging, 3D printing, human vision and perception, virtual and augmented reality systems, color science, image archiving and preservation, image assessment and reproduction, and automated vehicle imaging systems. A major objective of the Wiley-IS&T series is to advance this goal at the professional level by offering the latest scientific and technological developments in the field of imaging to the world-wide community. IS&T hosts a number of annual international conferences to further promote this goal.
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:
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.
WILEY-IS&T SERIES IN IMAGING SCIENCE AND TECHNOLOGY
IS&T, the Society for Imaging Science and Technology (imaging.org), is an international, professional society that brings together academia, industry, and government to discuss and disseminate information on the broad field of imaging, with particular emphasis on electronic imaging, 3D printing, human vision and perception, virtual and augmented reality systems, color science, image archiving and preservation, image assessment and reproduction, and automated vehicle imaging systems. A major objective of the Wiley-IS&T series is to advance this goal at the professional level by offering the latest scientific and technological developments in the field of imaging to the world-wide community. IS&T hosts a number of annual international conferences to further promote this goal.
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Hardback. Condition: New. 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 analysisProvides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standardsIncludes many photographic images and diagrammatical illustrations to clearly convey image quality conceptsChampions 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. Seller Inventory # LU-9781119054498
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