DocumentCode
3244901
Title
Haze removal using visible and infrared image fusion
Author
Ahn, Byungtae ; Bae, Taewuk ; Kweon, Inso
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2011
fDate
23-26 Nov. 2011
Firstpage
813
Lastpage
814
Abstract
In order to remove haze from images, we propose an improved method for fusing a visible and a near-infrared (NIR) image of the same scene. MR images are inherently haze-free. The NIR information allows dehazing without building and analyzing a model of haze image. We suggest a multi-resolution fusion using edge-preserving filter, bilateral filter, to reduce artifacts and computational time compared to the existing methods. Experimental results validate our approach.
Keywords
computational complexity; filtering theory; image denoising; image fusion; image resolution; artifact reduction; bilateral filter; computational time; edge-preserving filter; haze removal; infrared image fusion; multiresolution fusion; near-infrared image; visible image fusion; Bilateral filter; Dehazing; Image fusion; Multi-resolution; Near-infrared;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location
Incheon
Print_ISBN
978-1-4577-0722-3
Type
conf
DOI
10.1109/URAI.2011.6146028
Filename
6146028
Link To Document