In this paper, we propose a multi-sensor super-resolution framework for hybrid imaging to super-resolve data one modality by taking advantage of additional guidance images of a complementary modality. This concept is applied to hybrid 3-D range imaging in image-guided surgery, where high-quality photomet- ric data is exploited to enhance range images of low spatial resolution. We formulate super-resolution based on the maximum a-posteriori (MAP) principle a

1-s2.0-S1361841515000985-main.pdf

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