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Color Image Processing: Methods and
Applications is a versatile resource that can
be used as a graduate textbook or as stand-alone reference for the
design and the implementation of various image and video processing
tasks for cutting-edge applications.
Features:
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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Color Image Processing: Methods and
Applications embraces two decades of
extraordinary growth in the technologies and applications for color
image processing. The book offers comprehensive coverage of
state-of-the-art systems, processing techniques, and emerging
applications of digital color imaging.
To elucidate the significant progress
in specialized areas, the editors invited renowned authorities to
address specific research challenges and recent trends in their area of
expertise. The book begins by focusing on color fundamentals, including
color management, gamut mapping, and color constancy. The remaining
chapters detail the latest techniques and approaches to contemporary and
traditional color image processing and analysis for a broad spectrum of
sophisticated applications, including:
 | Vector and semantic processing |
| Secure imaging |
| Object recognition and feature detection |
| Facial and retinal image analysis |
| Digital camera image processing |
| Spectral and superresolution imaging |
| Image and video colorization |
| Virtual restoration of artwork |
| Video shot segmentation and surveillance |
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