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Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator.

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  • معلومة اضافية
    • المصدر:
      Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: Basel, Switzerland : MDPI, c2000-
    • الموضوع:
      Algorithms*
    • نبذة مختصرة :
      Haze is the most frequently encountered weather condition on the road, and it accounts for a considerable number of car crashes occurring every year. Accordingly, image dehazing has garnered strong interest in recent decades. However, although various algorithms have been developed, a robust dehazing method that can operate reliably in different haze conditions is still in great demand. Therefore, this paper presents a method to adapt a dehazing system to various haze conditions. Under this approach, the proposed method discriminates haze conditions based on the haze density estimate. The discrimination result is then leveraged to form a piece-wise linear weight to modify the depth estimator. Consequently, the proposed method can effectively handle arbitrary input images regardless of their haze condition. This paper also presents a corresponding real-time hardware implementation to facilitate the integration into existing embedded systems. Finally, a comparative assessment against benchmark designs demonstrates the efficacy of the proposed dehazing method and its hardware counterpart.
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    • Grant Information:
      20220204 Dong-A University
    • Contributed Indexing:
      Keywords: hardware implementation; haze condition; image dehazing; piece-wise linearization
    • الموضوع:
      Date Created: 20220310 Date Completed: 20220314 Latest Revision: 20220314
    • الموضوع:
      20240628
    • الرقم المعرف:
      PMC8915013
    • الرقم المعرف:
      10.3390/s22051957
    • الرقم المعرف:
      35271107