2015
DOI: 10.1364/ao.54.005970
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Smear correction of highly variable, frame-transfer CCD images with application to polarimetry

Abstract: 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 conte… Show more

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Cited by 12 publications
(8 citation statements)
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“…The common mode signal is estimated from shielded pixels and subtracted from each semi-row. The image smearing, caused by shutter-free operation of frame-transfer CCD detectors, is corrected by using a modified standard model developed and implemented by Iglesias et al (2015). After the basic reduction, 800 frames within each modulation state and wavelength position are averaged to a single image.…”
Section: Data Reductionmentioning
confidence: 99%
“…The common mode signal is estimated from shielded pixels and subtracted from each semi-row. The image smearing, caused by shutter-free operation of frame-transfer CCD detectors, is corrected by using a modified standard model developed and implemented by Iglesias et al (2015). After the basic reduction, 800 frames within each modulation state and wavelength position are averaged to a single image.…”
Section: Data Reductionmentioning
confidence: 99%
“…The smear problem is thus to estimate the contributions of the various photo-sites crossed by a given pixel of the image. The basic approach would be to derive the contributions s(i) from the image itself as proposed by Powell et al (1999) who subtracts the summed column of the image properly scaled by the transfer time, or Iglesias et al (2015) which adapts that principle to varying illumination during the exposure. But, this approach does not apply to CHEOPS since only a part of the CCD is downloaded and because the image continuously varies over time: between two consecutive 1 min exposures the image is rotated by 3.6 • and undergoes a different pointing jitter.…”
Section: Smear Correctionmentioning
confidence: 99%
“…Relevant calibration issues when applying them to polarimetry are common-mode noise 236 and frame-to-frame variable offsets, which can be reduced by subtracting the signal of specially shielded pixels; 39 response non-linearities, 240 that can be calibrated down to below ∼ 1% using look-up tables; 69 and, for shutter-less designs, frame-transfer artifacts that can be numerically corrected. 241 The need for large sensors areas, to properly sample the focal plane of bigger telescopes; for higher frame rates; and the great performance improvements and cost reductions, have motivated the usage of CMOS solutions in many recent instruments, i.e., all polarimeters dated 2017 or beyond in Fig. 2 employ CMOS detectors.…”
Section: Ccd Detectorsmentioning
confidence: 99%