DocumentCode :
3672589
Title :
Simultaneous video defogging and stereo reconstruction
Author :
Zhuwen Li;Ping Tan;Robby T. Tan;Danping Zou; Steven Zhiying Zhou;Loong-Fah Cheong
Author_Institution :
National University of Singapore, Singapore 119077
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
4988
Lastpage :
4997
Abstract :
We present a method to jointly estimate scene depth and recover the clear latent image from a foggy video sequence. In our formulation, the depth cues from stereo matching and fog information reinforce each other, and produce superior results than conventional stereo or defogging algorithms. We first improve the photo-consistency term to explicitly model the appearance change due to the scattering effects. The prior matting Laplacian constraint on fog transmission imposes a detail-preserving smoothness constraint on the scene depth. We further enforce the ordering consistency between scene depth and fog transmission at neighboring points. These novel constraints are formulated together in an MRF framework, which is optimized iteratively by introducing auxiliary variables. The experiment results on real videos demonstrate the strength of our method.
Keywords :
"Laplace equations","Image color analysis","Cameras","Mathematical model","Coherence","Media"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7299133
Filename :
7299133
Link To Document :
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