| Authors |
Kluckner Stefan , Pock Thomas, Bischof Horst |
| Appeared in |
Proceedings Annual Symposium German Association for Pattern Recognition |
| Date |
2010 |
| Abstract |
Image fusion in high-resolution aerial imagery poses a challenging
problem due to ne details and complex textures. In particular,
color image fusion by using virtual orthographic cameras o ers a common
representation of overlapping yet perspective aerial images. This
paper proposes a variational formulation for a tight integration of redundant
image data showing urban environments. We introduce an efficient
wavelet regularization which enables a natural-appearing recovery of ne
details in the images by performing joint inpainting and denoising from
a given set of input observations. Our framework is rst evaluated on
a setting with synthetic noise. Then, we apply our proposed approach
to orthographic image generation in aerial imagery. In addition, we discuss
an exemplar-based inpainting technique for an integrated removal
of non-stationary objects like cars. |
| Link |
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