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http://dx.doi.org/10.5139/JKSAS.2016.44.5.407

An Adaptive Guided Filter for Performance Improvement of Aviation Image Fusion  

Kim, Sun Young (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University)
Kang, Chang Ho (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University)
Park, Chan Gook (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.44, no.5, 2016 , pp. 407-415 More about this Journal
Abstract
In this paper, an aviation image fusion method is proposed for creating an informative fused image through gray scale images within noise. The proposed method is based on an adaptive guided filter which adjusts regulation parameter of the filter based on peak signal noise ratio (PSNR) in order to behave as an edge-preserving filtering property. Simulation results demonstrate that the proposed method preserves the edge information of the input image and reduces the noise effect while maintaining designed PSNR.
Keywords
Adaptive Guided Filter; PSNR; Regulation Parameter; Automation Target Recognition;
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