IEIE Transactions on Smart Processing and Computing

대한전자공학회 (The Institute of Electronics and Information Engineers)
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Sharpness-aware Evaluation Methodology for Haze-removal Processing in Automotive Systems

  • Hwang, Seokha (Department of Electronic Engineering, Kwangwoon University) ;
  • Lee, Youngjoo (Department of Electronic Engineering, Kwangwoon University)
  • 투고 : 2016.10.17
  • 심사 : 2016.12.28
  • 발행 : 2016.12.30
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초록

This paper presents a new comparison method for haze-removal algorithms in next-generation automotive systems. Compared to previous peak signal-to-noise ratio-based comparisons, which measure similarity, the proposed modulation transfer function-based method checks sharpness to select a more suitable haze-removal algorithm for lane detection. Among the practical filtering schemes used for a haze-removal algorithm, experimental results show that Gaussian filtering effectively preserves the sharpness of road images, enhancing lane detection accuracy.

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참고문헌

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