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
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;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6146028
