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논문 기본 정보

자료유형
학술저널
저자정보
(Konkuk University) (Konkuk University) (Konkuk University) (Konkuk University) (Konkuk University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.11 No.5
발행연도
수록면
343 - 350 (8page)
DOI
10.5573/IEIESPC.2022.11.5.343

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초록· 키워드

We propose a progressive dehazing and depth estimation (PDDE) method with optimal estimation of the attenuation coefficient. We investigated the characteristics of dehazing operations related to the depth and attenuation coefficient for PDDE. Entropy was used as a non-reference image quality metric for optimality assessment of dehazed images. The proposed PDDE method provides an optimal dehazed image and depth estimation from a single hazy image. Experimental results show that the proposed method provides clearer and subjectively better results for single image dehazing than previous image dehazing methods. It also results in a significant improvement in the accuracy of depth estimation from a single hazy image compared with previous depth estimation methods.
#Image dehazing #Depth estimation #Attenuation coefficient #Deep learning #Entropy
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목차

  1. Abstract
  2. 1. Introduction
  3. 2. Proposed Method
  4. 3. Experimental Results
  5. 4. Conclusion and Discussion
  6. References

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UCI(KEPA) : I410-ECN-0101-2023-569-000205336