Kstars
darkprocessor.h
28 * The primary denoise function searches first for defect maps that matches the criteria of the passed parameters.
29 * These include sensor binning, size, temperature, and date. If a defect map is found, then it is loaded from disk and all the bad
30 * pixels are treated with a 3x3 median filter. If no defect map is found, it searches for suitable dark frames and if any is found then
43 void denoise(int trainID, ISD::CameraChip *targetChip, const QSharedPointer<FITSData> &targetData, double duration,
64 void subtractDarkData(const QSharedPointer<FITSData> &darkData, const QSharedPointer<FITSData> &lightData,
75 void subtractInternal(const QSharedPointer<FITSData> &darkData, const QSharedPointer<FITSData> &lightData,
83 * @brief normalizeDefects Remove defects from LIGHT image by replacing bad pixels with a 3x3 median filter around
90 void normalizeDefects(const QSharedPointer<DefectMap> &defectMap, const QSharedPointer<FITSData> &lightData,
94 void normalizeDefectsInternal(const QSharedPointer<DefectMap> &defectMap, const QSharedPointer<FITSData> &lightData,
Q_OBJECTQ_OBJECT
QObject * parent() const const
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Documentation copyright © 1996-2024 The KDE developers.
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Documentation copyright © 1996-2024 The KDE developers.
Generated on Mon Nov 4 2024 16:38:42 by doxygen 1.12.0 written by Dimitri van Heesch, © 1997-2006
KDE's Doxygen guidelines are available online.