Sciweavers

ACIVS
2006
Springer

Blue Sky Detection for Picture Quality Enhancement

13 years 9 months ago
Blue Sky Detection for Picture Quality Enhancement
Content analysis of video and still images is attractive for multiple reasons, such as enabling content-based actions and image manipulation. This paper presents a new algorithm and feature model for blue-sky detection. The algorithm classifies the sky areas by computing a pixel-accurate sky probability. Such a probabilistic measure matches well with the requirements of typical video enhancement functions in TVs. This algorithm enables not only content-adaptive picture quality improvement, but also more advanced applications such as content-based annotation of, and retrieval from image and video databases. When compared to existing algorithms, our proposal shows considerable improvements in correct detection/rejection rate of sky areas, and an improved consistency of the segmentation results.
Bahman Zafarifar, Peter H. N. de With
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ACIVS
Authors Bahman Zafarifar, Peter H. N. de With
Comments (0)