Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Efficient Sharp Digital Image Detection Scheme

  • Kim, Hyoung-Joong (CIST, Graduate School of Information Management and Security, Korea University) ;
  • Tsomko, Elena (Electronics and Telecommunication Engineering, Kangwon National University) ;
  • Kim, Dong-Hoi (Electronics and Telecommunication Engineering, Kangwon National University)
  • Published : 2007.07.29
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Abstract

In this paper we present a simple, efficient method for detection of sharp digital images. Recently many digital cameras are equipped with various autofocusing functions to help users take well-focused pictures as easily as possible. However, acquired digital pictures can be further degraded by motion, limited contrast, and inappropriate amount of exposure, to name a few. In order to decide whether to process the image or not, or whether to delete it or not, reliable measure of image quality to detect sharp images from blurry ones is needed. This paper presents a blurriness/sharpness measure, and demonstrates its feasibility using extensive experiments. This method is fast and easy to implement, and accurate. Regardless of the detection accuracy, existing measures are computation-intensive. However, the proposed measure in this paper is not demanding in computation time. Needless to say, this measure can be used for various imaging applications including autofocusing and astigmatism correction.

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References

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