Restoration and frequency analysis of smeared CCD images

Powell, Keith; Chana, Deeph; Fish, D.; Thompson, Chris

doi:10.1364/ao.38.001343

Cited by 16 publications

(14 citation statements)

References 4 publications

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“…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%

Expected performances of the Characterising Exoplanet Satellite (CHEOPS)

Hoyer

Guterman

Demangeon

et al. 2020

A&A

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The CHaracterizing ExOPlanet Satellite (CHEOPS) is set to be launched in December 2019 and will detect and characterize small size exoplanets via ultra high precision photometry during transits. CHEOPS is designed as a follow-up telescope and therefore it will monitor a single target at a time. The scientific users will retrieve science-ready light curves of the target that will be automatically generated by the CHEOPS data reduction pipeline of the Science Operations Centre. This paper describes how the pipeline processes the series of raw images and, in particular, how it handles the specificities of CHEOPS data, such as the rotating field of view, the extended irregular point spread function, and the data temporal gaps in the context of the strict photometric requirements of the mission. The current status and performance of the main processing stages of the pipeline, that is the calibration, correction, and photometry, are presented to allow the users to understand how the science-ready data have been derived. Finally, the general performance of the pipeline is illustrated via the processing of representative scientific cases generated by the mission simulator.

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Section: Smear Correctionmentioning

confidence: 99%

Expected performances of the Characterising Exoplanet Satellite (CHEOPS)

Hoyer

Guterman

Demangeon

et al. 2020

A&A

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“…Blooming can be tackled by adapting the integration time to 8 avoid saturation. Smearing can be corrected for some specific CCD cameras [28,29]. Optical reflections can be corrected also if required [22].…”

Section: Ccd Camera Correctionsmentioning

confidence: 99%

An Innovative Method for 3-D Shape, Strain and Temperature Full-Field Measurement Using a Single Type of Camera: Principle and Preliminary Results

et al. 2007

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An innovative technique for measuring both the shape, the displacement, the strain and the temperature fields at the surface of an object using a single stereovision sensor is proposed. The sensor is based on two off-the-shelf low-cost high-resolution uncooled CCD cameras. To allow both dimensional and thermal measurements, the sensor operates in the visible and near infrared (NIR) spectral band (0.7-1.1 µm), and a radiometric and geometric calibration of the sensor is required. This technique leads to a low-cost camera-based simplified instrumentation that gives simultaneously dimensional/kinematical and thermal field measurements.Key words: geometric camera calibration, radiometric camera calibration, shape measurements, strain measurements, temperature measurements, full-field measurements, stereovision, digital image correlation (DIC), stereo-correlation, 3-D metrology, experimental mechanics. Preprint submitted to Experimental MechanicsJune 2007 1 Introduction For temperature measurements, many sensors are also available, from the classical thermocouples up to more sophisticated non-contact sensors like infrared cameras or pyrometers [14,15]. Thus, getting the strains and temperature at the same time implies generally a multi-instrumentation of the set-up and it is not so easy to combine the measurements of various categories in order to get the strains and the temperature at a given point of the specimen surface. 2 classical thermocamera with the 3-D shape data provided by a stereovision sensor. Their technique requires three cameras (an IR camera and two CCD cameras for the stereovision sensor) and a specific calibration procedure is needed to perform the fusion of the thermal and kinematical data provided by two different types of cameras. Satzger et al. [17] propose to utilize an infrared camera with a fringe projection technique to obtain a cloud of 3-D points and

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“…There exist smearing reduction algorithms (Powell et al, 1999;Ruyten, 1999) through signal processing that can increase spatial resolution and contrast without the need to worry about the effects of short exposure times. Ruyten (1999) proposed the algorithm only for "charge flush mode", and Powell et al (1999) proposed the algorithm for three operating modes ⅐ standard, reverse clocking, and charge flush mode.…”

Section: Limited Spatial Resolutionmentioning

confidence: 99%

“…Ruyten (1999) proposed the algorithm only for "charge flush mode", and Powell et al (1999) proposed the algorithm for three operating modes ⅐ standard, reverse clocking, and charge flush mode. In the case of "standard transfer mode", the charge transfer process can be modeled as…”

Section: Limited Spatial Resolutionmentioning

confidence: 99%

Super‐resolution approach to overcome physical limitations of imaging sensors: An overview

Choi

Kang

2004

Int J Imaging Syst Tech

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Although the performance of CCD and CMOS imaging sensors has improved since their invention, they still have several physical limitations, such as various sources of noise, limited dynamic range, and limited spatial resolution. Besides these physical limitations, they have malfunctioning problems, such as smearing and blooming, which degrade the quality of captured images. These limitations and malfunctioning problems can be overcome, based on device physics and circuit technology. However, a signal-processingbased approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal-processing-based approach can be called a super-resolution approach. The goal of this article is to introduce a super-resolution approach that overcomes the limitations of imaging sensors. To this purpose, we describe the existing limitations of imaging sensors first, and then describe the corresponding super-resolution approach.

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Restoration and frequency analysis of smeared CCD images

Cited by 16 publications

References 4 publications

Expected performances of the Characterising Exoplanet Satellite (CHEOPS)

Expected performances of the Characterising Exoplanet Satellite (CHEOPS)

An Innovative Method for 3-D Shape, Strain and Temperature Full-Field Measurement Using a Single Type of Camera: Principle and Preliminary Results

Super‐resolution approach to overcome physical limitations of imaging sensors: An overview

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