Next Article in Journal
Hybrid Orientation Based Human Limbs Motion Tracking Method
Next Article in Special Issue
High-Speed Video System for Micro-Expression Detection and Recognition
Previous Article in Journal
Development of Gentle Slope Light Guide Structure in a 3.4 μm Pixel Pitch Global Shutter CMOS Image Sensor with Multiple Accumulation Shutter Technology
Previous Article in Special Issue
Vision System for Coarsely Estimating Motion Parameters for Unknown Fast Moving Objects in Space
Open AccessArticle

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
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(12), 2861; https://doi.org/10.3390/s17122861
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)
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
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop