Iterative Refinement of Transmission Map for Stereo Image Defogging Using a Dual Camera Sensoropen access
- Authors
- Kim, Heegwang; Park, Jinho; Park, Hasil; Paik, Joonki
- Issue Date
- Dec-2017
- Publisher
- MDPI AG
- Keywords
- image enhancement; image restoration; stereo image processing; dehazing; defogging
- Citation
- SENSORS, v.17, no.12
- Journal Title
- SENSORS
- Volume
- 17
- Number
- 12
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3610
- DOI
- 10.3390/s17122861
- ISSN
- 1424-8220
1424-8220
- Abstract
- Recently, the stereo imaging-based image enhancement approach has attracted increasing attention in the field of video analysis. This paper presents a dual camera-based stereo image defogging algorithm. Optical flow is first estimated from the stereo foggy image pair, and the initial disparity map is generated from the estimated optical flow. Next, an initial transmission map is generated using the initial disparity map. Atmospheric light is then estimated using the color line theory. The defogged result is finally reconstructed using the estimated transmission map and atmospheric light. The proposed method can refine the transmission map iteratively. Experimental results show that the proposed method can successfully remove fog without color distortion. The proposed method can be used as a pre-processing step for an outdoor video analysis system and a high-end smartphone with a dual camera system.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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