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VISUAL
2005
Springer

Image Annotation for Adaptive Enhancement of Uncalibrated Color Images

14 years 6 months ago
Image Annotation for Adaptive Enhancement of Uncalibrated Color Images
The paper describes an innovative image annotation tool, based on a multi-class Support Vector Machine, for classifying image pixels in one of seven classes - sky, skin, vegetation, snow, water, ground, and man-made structures - or as unknown. These visual categories mirror high-level human perception, permitting the design of intuitive and effective color and contrast enhancement strategies. As a pre-processing step, a smart color balancing algorithm is applied, making the overall procedure suitable for uncalibrated images, such as images acquired by unknown systems under unknown lighting conditions.
Claudio Cusano, Francesca Gasparini, Raimondo Sche
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where VISUAL
Authors Claudio Cusano, Francesca Gasparini, Raimondo Schettini
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