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http://dx.doi.org/10.9708/jksci.2018.23.12.027

Edge Preserving Smoothing in Infrared Image using Relativity of Guided Filter  

Kim, Il-Ho (Dept. of Electro-Optronics 2Team, Hanwha Systems Co.)
Publication Information
Journal of the Korea Society of Computer and Information / v.23, no.12, 2018 , pp. 27-33 More about this Journal
Abstract
In this paper, we propose an efficient edge preserving smoothing filter for Infrared image that can reduce noise while preserving edge information. Infrared images suffer from low signal-to-noise ratio, low edge detail information and low contrast. So, detail enhancement and noise reduction play crucial roles in infrared image processing. We first apply a guided image filter as a local analysis. After the filtering process, we optimization globally using relativity of guided image filter. Our method outperforms the previous methods in removing the noise while preserving edge information and detail enhancement.
Keywords
Infrared image; Edge preserving smoothing; Detail enhancement; Noise suppression; Image Denoising; Guided Filter; Relativity of Guided filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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