1 research outputs found
Smear correction of highly-variable, frame-transfer-CCD images with application to polarimetry
Image smear, produced by the shutter-less operation of frame transfer CCD
detectors, can be detrimental for many imaging applications. Existing
algorithms used to numerically remove smear, do not contemplate cases where
intensity levels change considerably between consecutive frame exposures. In
this report we reformulate the smearing model to include specific variations of
the sensor illumination. The corresponding desmearing expression and its noise
properties are also presented and demonstrated in the context of fast imaging
polarimetry.Comment: Article accepted for publication in Applied Optics on 08 Jun 201