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Conference Paper Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration
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Authors
Dong-Wan Ryoo, Kyung-Kyu Kang, Chang-Joon Park
Issue Date
2018-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1473-1475
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539643
Project Code
18HS2300, Synthetic Battlefield Generation and Visualization from Aerial Imagery Captured at Multiple Altitudes, Park Chang Joon
Abstract
In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
KSP Keywords
Block type, Boundary region, Dark Channel prior, Haze simulation, Hybrid-type, Image visibility, Multi-filter, Physical modeling, Restoration algorithm, Restoration method, Single image