IMAGE DEBLURRING - COMPUTATION OF CONFIDENCE INTERVALS

Victoria Taroudaki · 2010

Cameras often record blurred images of the original object. Restoration of the image is not a trivial procedure, and it can be very expensive for large images. In this project we are trying to efficiently compute confidence intervals for the digital values that represent the image and visualize them so that the viewer can distinguish truth from uncertainty.

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