ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration
Cited 0 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
유동완, 강경규, 박창준
발행일
201810
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1473-1475
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539643
협약과제
18HS2300, 다고도 이기종 실사영상 기반 3차원 합성전장 구축 및 가시화 기술 개발, 박창준
초록
In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
KSP 제안 키워드
Block type, Boundary region, Dark Channel prior, Haze simulation, Hybrid-type, Image visibility, Multi-filter, Physical modeling, Restoration algorithm, Restoration method, Single image