TY - GEN
T1 - Image de-fencing with hyperspectral camera
AU - Zhang, Qi
AU - Yuan, Yuan
AU - Lu, Xiaoqiang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/16
Y1 - 2016/8/16
N2 - The main idea of image de-fencing refers to removing fence-like obstacles in the image and recovering the image. In this paper, rather than using a common RGB camera, we propose a novel image de-fencing algorithm with the help of a hyperspectral camera. Our algorithm consists of two phases: (1) automatically finding the location of the fence in the image, (2) image inpainting to reveal a fence-free image. With a hyperspectral camera, hundreds of images of the same scene under different wavelengths can be obtained instantly. By exploiting the spectral information of different positions in the scene with these hyperspectral images, the location of the fence can be distinguished from other objects. Then the fence can be removed and the image can be recovered with a novel image inpainting algorithm based on an approximate near-neighbor search method. Experiments demonstrate that our algorithm achieves considerable performance for the image de-fencing problem.
AB - The main idea of image de-fencing refers to removing fence-like obstacles in the image and recovering the image. In this paper, rather than using a common RGB camera, we propose a novel image de-fencing algorithm with the help of a hyperspectral camera. Our algorithm consists of two phases: (1) automatically finding the location of the fence in the image, (2) image inpainting to reveal a fence-free image. With a hyperspectral camera, hundreds of images of the same scene under different wavelengths can be obtained instantly. By exploiting the spectral information of different positions in the scene with these hyperspectral images, the location of the fence can be distinguished from other objects. Then the fence can be removed and the image can be recovered with a novel image inpainting algorithm based on an approximate near-neighbor search method. Experiments demonstrate that our algorithm achieves considerable performance for the image de-fencing problem.
UR - http://www.scopus.com/inward/record.url?scp=84987619360&partnerID=8YFLogxK
U2 - 10.1109/CITS.2016.7546396
DO - 10.1109/CITS.2016.7546396
M3 - 会议稿件
AN - SCOPUS:84987619360
T3 - IEEE CITS 2016 - 2016 International Conference on Computer, Information and Telecommunication Systems
BT - IEEE CITS 2016 - 2016 International Conference on Computer, Information and Telecommunication Systems
A2 - Gao, Fei
A2 - Li, Zan
A2 - Caballero, Daniel Cascado
A2 - Fan, Jing
A2 - Obaidat, Mohammad S.
A2 - Nicoploitidis, Petros
A2 - Hsiao, Kuei Fang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Computer, Information and Telecommunication Systems, CITS 2016
Y2 - 6 July 2016 through 8 July 2016
ER -