Blue Sky Detection for Picture Quality Enhancement

  • Bahman Zafarifar
  • Peter H. N. de With
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)


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.


False Detection Color Model Correct Rejection Video Application Picture Quality 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bahman Zafarifar
    • 2
    • 3
  • Peter H. N. de With
    • 1
    • 2
  1. 1.Eindhoven University of TechnologyThe Netherlands
  2. 2.LogicaCMGEindhovenThe Netherlands
  3. 3.Philips Innovative Applications (CE)BurgesBelgium

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