TY - GEN
T1 - Stereo image defogging
AU - Lee, Yeejin
AU - Gibson, Kristofor B.
AU - Lee, Zucheul
AU - Nguyen, Truong Q.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/28
Y1 - 2014/1/28
N2 - This paper presents a new approach to estimate fog-free images from stereo foggy images. We investigate a new way to estimate transmission by computing the scattering coefficient and depth information of a scene. However, most existing visibility restoration algorithms estimate transmission independently on scattering coefficient and object distance. In the proposed method, the natural color of a foggy image is recovered using depth information from a stereo image pair even though prior knowledge or multiple images taken at different times are not required. Furthermore, we explore a new way to measure the scattering coefficient by using a stereo image pair from an image processing perspective. Experimental results verify that the proposed method outperforms the conventional defogging methods.
AB - This paper presents a new approach to estimate fog-free images from stereo foggy images. We investigate a new way to estimate transmission by computing the scattering coefficient and depth information of a scene. However, most existing visibility restoration algorithms estimate transmission independently on scattering coefficient and object distance. In the proposed method, the natural color of a foggy image is recovered using depth information from a stereo image pair even though prior knowledge or multiple images taken at different times are not required. Furthermore, we explore a new way to measure the scattering coefficient by using a stereo image pair from an image processing perspective. Experimental results verify that the proposed method outperforms the conventional defogging methods.
KW - defogging/dehazing
KW - disparity estimation
KW - physics-based vision
KW - scattering coefficient
KW - stereo image processing
UR - http://www.scopus.com/inward/record.url?scp=84949927016&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2014.7026098
DO - 10.1109/ICIP.2014.7026098
M3 - Conference contribution
AN - SCOPUS:84949927016
T3 - 2014 IEEE International Conference on Image Processing, ICIP 2014
SP - 5427
EP - 5431
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -