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

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ID: 35588
2017
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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.
Reference Key
kim2017iterativesensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kim, Heegwang;Park, Jinho;Park, Hasil;Paik, Joonki;
Journal sensors
Year 2017
DOI
DOI not found
URL
https://www.mdpi.com/1424-8220/17/12/2861
Keywords Keywords not found

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