Perceptual Digital Imaging
Computational Photography
Single-Sensor Imaging
Color Image Processing
Super-Resolution Imaging
Cultural Heritage Imaging
Visual Cryptography
Graphs: Theory & Practice
Image Restoration


A new book on Single-Sensor Digital Color Imaging published!

Explore a Fast-Evolving Technology! A Decade of Extraordinary Growth! Experts Address Challenges and Trends! A Solid Foundation of Knowledge to Solve Problems!

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.


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:

bulletDemosaicking and color restoration
bulletWhite balancing and color transfer
bulletColor and exposure correction
bulletImage denoising and color enhancement
bulletImage compression and storage formats
bulletRed-eye detection and removal
bulletImage resizing
bulletVideo-demosaicking and superresolution imaging
bulletImage 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.


bulletExamines the latest techniques, algorithms, and solutions for visual data acquisition, analysis, processing, and storage
bulletComprehensively covers system design, implementation, and application aspects of digital color camera imaging
bulletProvides an analysis of recent advances in visual information sampling
bulletContains numerous examples, illustrations, and tables summarizing the results of various quantitative studies

Additional material is available at the companion web site www.colorimageprocessing.org.

Home | Perceptual Digital Imaging | Computational Photography | Single-Sensor Imaging | Color Image Processing | Super-Resolution Imaging | Cultural Heritage Imaging | Visual Cryptography | Graphs: Theory & Practice | Image Restoration

Last update: 03/20/11

© 2006 Rastislav Lukac