Color Image Processing

With advances in image sensors, digital TV, image-enabled consumer electronics, and much more, color image processing is of paramount interest in the computer vision community.

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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

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.

This book is part of the Digital Imaging and Computer Vision series.