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Sensors 2017, 17(12), 2861; https://doi.org/10.3390/s17122861

Iterative Refinement of Transmission Map for Stereo Image Defogging Using a Dual Camera Sensor

Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea
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Received: 28 October 2017 / Revised: 27 November 2017 / Accepted: 6 December 2017 / Published: 9 December 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)
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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. View Full-Text
Keywords: image enhancement; image restoration; stereo image processing; dehazing; defogging image enhancement; image restoration; stereo image processing; dehazing; defogging
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Kim, H.; Park, J.; Park, H.; Paik, J. Iterative Refinement of Transmission Map for Stereo Image Defogging Using a Dual Camera Sensor. Sensors 2017, 17, 2861.

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