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.
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.
Abhay Sharma has a BS in Imaging Sciences from the University of Westminster, UK, and a PhD in Physics from King's College London, UK. Sharma developed color products as a Senior Research Scientist at FujiFilm Electronic Imaging, UK, before accepting a position as Associate Professor at Western Michigan University, USA. Dr Sharma is now a Professor in the School of Graphic Communications Management, Ryerson University in Toronto, where he teaches color management to students on the only degree program in print media in Canada. Sharma is well known in the industry via his involvement with the ICC and major Idealliance color evaluation projects for color proofing, color in digital presses, ink optimization, large-format inkjet printing, etc.
This book is written for color and imaging scientists developing, implementing and using color management systems within a range of imaging devices and software. Senior undergraduate and postgraduate students will also find the book of use.
The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic.
In four comprehensive sections, this book covers:
The fundamentals and requirements for color image processing from a vector-valued viewpoint
Techniques for preprocessing color images
Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging
Applications of color image processing, presented via the examination of two case studies
In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities.
Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.
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.
Optical engineering is the branch of physics that covers study of the science of light and deals with the applications of optics. Optical engineers focuses on the optical instruments such as various types of lenses, spherical mirrors, convex mirror, concave mirror, microscopes, telescopes, and other components which uses the properties of light. Some technical instruments are optical design systems, lasers lights, optical fiber and etc.
Topics covers in this book are Principles of Optical Engineering, Mirrors and Prisms, Formation of Image, Concept of Eye, Aberrations, Apertures and Stops, Photometry and Radiometry, Basic Optical Devices, Optical Materials, and Design of Optical Systems.