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A volume in the
Image Processing series
Single-Sensor Imaging:
Methods and
Applications for Digital Cameras
Edited by:
Rastislav Lukac
Epson Edge, Toronto, Ontario, Canada
Boca Raton, FL, CRC Press / Taylor & Francis, September 2008
ISBN
978-1-4200-5452-1
Audience:
Scientists and development engineers involved with
digital image processing, computer engineering, computer science,
biomedical engineering, digital imaging, digital signal processing,
computer vision, multimedia, visual communication systems, applied
physics, acoustics, and applications including digital TV, image-enabled
consumer electronics, games industry, satellite imagery, defense
systems, remote sensing, art, and medical imaging. |
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The past decade has brought a surge of
growth in the technologies for digital color imaging, multidimensional
signal processing, and visual scene analysis. These advances have been
crucial to developing new camera-driven applications and commercial
products in digital photography. Single-Sensor Imaging: Methods and
Applications for Digital Cameras embraces this extraordinary
progress, comprehensively covering state-of-the-art systems, processing
techniques, and emerging applications.
Single-Sensor Imaging: Methods and
Applications for Digital Cameras presents leading experts
elucidating their own accomplishments in developing the technologies
reshaping this field. The editor invited renowned authorities to address
specific research challenges and recent trends in their areas of
expertise. The book discusses single-sensor digital color imaging
fundamentals, including reusable embedded software platform, digital
camera image processing chain, optical filter and color filter array
designs. It also details the latest techniques and approaches in
contemporary and traditional digital camera color image processing and
analysis for various sophisticated applications, including:
 | Demosaicking and color restoration |
| White balancing and color transfer |
| Color and exposure correction |
| Image denoising and color enhancement |
| Image compression and storage formats |
| Red-eye detection and removal |
| Image resizing |
| Video-demosaicking and superresolution imaging |
| Image and video stabilization |
Single-Sensor Imaging: Methods and
Applications for Digital Cameras builds a strong fundamental
understanding of theory and methods for solving many of today’s most
interesting and challenging problems in digital color image and video
acquisition, analysis, processing, and storage. A broad survey of the
existing solutions and relevant literature makes this book a valuable
resource both for researchers and those applying rapidly evolving
digital camera technologies.
Features:
| Examines the latest techniques, algorithms, and
solutions for visual data acquisition, analysis, processing, and
storage |
| Comprehensively covers system design,
implementation, and application aspects of digital color camera
imaging |
| Provides an analysis of recent advances in visual
information sampling |
| Contains numerous examples, illustrations, and
tables summarizing the results of various quantitative studies |
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