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An improved image dehazing and enhancing method using dark channel prior
Song YC(宋颖超); Luo HB(罗海波); Hui B(惠斌); Chang Z(常铮)
作者部门光电信息技术研究室
会议名称27th Chinese Control and Decision Conference, CCDC 2015
会议日期May 23-25, 2015
会议地点Qingdao, China
会议录名称Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码5840-5845
收录类别EI ; CPCI(ISTP)
EI收录号20154401482003
WOS记录号WOS:000375232901044
产权排序1
ISBN号978-1-4799-7016-2
关键词Dehazing Dark Channel Prior(Dcp) Guided Filter(Gf) Transmission
摘要In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric scattering. Images taken in this weather suffer from serious degradation. Image dehazing based on the dark channel prior(DCP) is considered to be an elegant solution due to its advantages of simple implementation and excellent performance of dehazing. However, as it is based on the assumption that the transmission is locally constant, the patch size will affects the quality of dehazed images. A large patch size leads to bright atmosphere but serious halo artifacts, while a small one can achieve nice dehazing results with little halo artifacts but dim atmosphere. To achieve a nice dehazing reslut with little halo artifacts and good brightness atmosphere, an improved dehazing method based on the DCP and the guided filter(GF) was proposed in this paper. Our method differs from previous ones in two aspects. First, we take a small patch size(rd= 1) to solve the dark channel(DC), which can achieves a better contrast recovery with little halo artifacts compared to a middle one(rd= 7), then we proposed a brightness enhancement method on the dehazed image to solve the problem of dim atmosphere. Second, in the step of transmission optimizing, we take several gray scale images rather than the color hazy image as the guidance images. The experimental results show that the proposed method can achieve rather good dehazing results, but with a relative simple implementation and a low time complexity.
语种英语
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被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17207
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Song YC,Luo HB,Hui B,et al. An improved image dehazing and enhancing method using dark channel prior[C]. Piscataway, NJ, USA:IEEE,2015:5840-5845.
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