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A volume in the
Digital Imaging and Computer Vision series
Computational Photography:
Methods and
Applications
Edited by:
Rastislav Lukac
Foveon, Inc. / Sigma Corp., San Jose, California, USA
Boca Raton, FL, CRC Press / Taylor & Francis, October 2010
ISBN
978-1-4398-1749-0
Audience:
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Graduate students in the departments of electrical
engineering, computer engineering, computer science, and art, whose
orientation is computer vision, digital imaging, digital signal and
image processing, computer graphics, and multimedia. |
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Development engineers who are involved
in software / hardware development for the consumer electronics industry |
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Scientists and engineers working in
computer vision, digital imaging and computer graphics either
theoretically or in applications, such as photography, computer vision
systems, visual communications, surveillance, multimedia systems,
medical imaging, art, and astronomy. |
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Computational photography refers
broadly to imaging techniques that enhance or extend the capabilities of
digital photography. This new and rapidly developing research field has
evolved from computer vision, image processing, computer graphics and
applied optics—and numerous commercial products capitalizing on its
principles have already appeared in diverse market applications, due to
the gradual migration of computational algorithms from computers to
imaging devices and software.
Computational Photography: Methods
and Applications provides a strong, fundamental understanding of
theory and methods, and a foundation upon which to build solutions for
many of today's most interesting and challenging computational imaging
problems. Elucidating cutting-edge advances and applications in digital
imaging, camera image processing, and computational photography, with a
focus on related research challenges, this book:
| Describes single capture image fusion technology
for consumer digital cameras |
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Discusses the steps in a camera
image processing pipeline, such as visual data compression, color
correction and enhancement, denoising, demosaicking, super-resolution
reconstruction, deblurring, and high-dynamic range imaging |
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Covers shadow detection for
surveillance applications, camera-driven document rectification,
bilateral filtering and its applications, and painterly rendering of
digital images |
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Presents machine-learning methods
for automatic image colorization and digital face beautification |
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Explores light field acquisition and
processing, space-time light field rendering, and dynamic view
synthesis with an array of cameras |
Because of the urgent challenges
associated with emerging digital camera applications, image processing
methods for computational photography are of paramount importance to
research and development in the imaging community. Presenting the work
of leading experts, and edited by a renowned authority in digital color
imaging and camera image processing, this book considers the rapid
developments in this area and addresses very particular research and
application problems. It is ideal as a stand-alone professional
reference for design and implementation of digital image and video
processing tasks, and it can also be used to support graduate courses in
computer vision, digital imaging, visual data processing, and computer
graphics, among others.
Features:
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Details recent advances in image
processing-driven computational photography |
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Explains the latest techniques,
algorithms, and solutions for digital image processing |
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Provides comprehensive coverage of
system design, implementation, and application aspects of
computational imaging |
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Explores new digital image and video
processing applications |
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Contains numerous examples,
illustrations, online access to full-color results, and tables
summarizing results from quantitative studies |
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