Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
In multiple-image super-resolution, a high-resolution image is estimated from a number of lower-resolution images. This usually involves computing the parameters of a generative imaging model (such as geometric and photometric registration, and blur) and obtaining a MAP estimate by minimizing a cost...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer
2007
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