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A novel adaptive skin detection and adjustment
Color has been a central issue in the digital imaging device industry. Customers want more
vivid and natural color presented on imaging devices such as displays, printers, and cameras.
Among various colors in the display system, skin color is the most critical references since it
has the most perceptive impact on human visual system and occupies relatively large area in
the reproduced video signals. Therefore, preferred skin color reproduction in imaging devices
has gained significant research attention recently. The objective of this research project is to
develop a preferred skin color reproduction technique that maximally enhances perceptual
visual quality of digital visual data while minimizing introduction of unnatural artifacts. The
proposed system will initially detect region that contain skin pixels within input image/video
frame and apply color correction algorithm to convert detected skin color to the preferred skin
color. The success of this project will strengthen our industrial partners’ technological
leadership and competitiveness.
Faculty Supervisor:
Konstantinos (Kostas) Plataniotis
Student:
Partner:
Qualcomm Canada Inc
Discipline:
Engineering
Sector:
Information and cultural industries; Manufacturing; Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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