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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:
- 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.
- References:
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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
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