journal article·2023-09-19Open access

Dynamic Dark Channel Prior Dehazing with Polarization

Haotong Suo, Jinge Guan, Miao Ma, Yongsheng Huo, Yaoyu Cheng, Naying Wei, Liying Zhang

Applied Sciences· Volume 13· Issue 18

Abstract

For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional DCP dehazed process for achieving better imaging performance that can improve target detection or target tracking. In this paper, a polarization imaging system with a split-amplitude structure is designed to enable real-time polarization acquisition of transient scenes. The experimental results show that besides descattering, the proposed method can also simultaneously obtain both light intensity and polarization information from the target. Compared with the traditional DCP method, which only utilizes intensity information as a carrier, a combination of intensity and polarization in the proposed method can effectively detect the target hidden in the background with similar reflectivity. Our investigation has potential application value for optical imaging in scattering environments.
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Research context

OpenAlex topics: Image Enhancement Techniques · Random lasers and scattering media · Advanced Optical Sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Information and Communication Engineering, North University of China, Taiyuan 030051, China

State Key Laboratory of Dynamic Measurement Technology, Taiyuan 030051, China

Department of Science, Taiyuan Institute of Technology, Taiyuan 030008, China

School of Instrument and Electronics, North University of China, Taiyuan 030051, China

Funding

Fundamental Research Program of Shanxi Province · National Natural Science Foundation of China · Central Guidance on Local Science and Technology Development Fund of Shanxi Province

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