Machine learning in multi-frame image super-resolution

@inproceedings{Pickup2007MachineLI,
  title={Machine learning in multi-frame image super-resolution},
  author={Lyndsey C. Pickup},
  year={2007}
}
Multi-frame image super-resolution is a procedure which takes several noisy lowresolution images of the same scene, acquired under different conditions, and processes them together to synthesize one or more high-quality super-resolution images, with higher spatial frequency, and less noise and image blur than any of the original images. The inputs can take the form of medical images, surveillance footage, digital video, satellite terrain imagery, or images from many other sources. This thesis… CONTINUE READING
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