Interp.h File Reference

#include <limits>
#include <vector>
#include "lsst/geom/Box.h"
#include "lsst/afw/image/Defect.h"
#include "lsst/afw/image/MaskedImage.h"

Go to the source code of this file.

Classes
class	lsst::meas::algorithms::Defect
	Encapsulate information about a bad portion of a detector. More...

Namespaces
	lsst
	A base class for image defects.
	lsst::afw
	lsst::afw::detection
	lsst::meas
	lsst::meas::algorithms
	Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations.
	lsst::meas::algorithms::interp

Functions
template<typename MaskedImageT >
std::pair< bool, typename MaskedImageT::Image::Pixel >	lsst::meas::algorithms::interp::singlePixel (int x, int y, MaskedImageT const &image, bool horizontal, double minval)
	Return a boolean status (true: interpolation is OK) and the interpolated value for a pixel, ignoring pixels given by badmask. More...
template<typename MaskedImageT >
void	lsst::meas::algorithms::interpolateOverDefects (MaskedImageT &mimage, afw::detection::Psf const &, std::vector< Defect::Ptr > &_badList, double fallbackValue, bool useFallbackValueAtEdge)
	Process a set of known bad pixels in an image. More...

Variables
double const	lsst::meas::algorithms::interp::lpc_1_c1 = 0.7737
	LPC coefficients for sigma = 1, S/N = infty. More...
double const	lsst::meas::algorithms::interp::lpc_1_c2 = -0.2737
double const	lsst::meas::algorithms::interp::lpc_1s2_c1 = 0.7358
	LPC coefficients for sigma = 1/sqrt(2), S/N = infty. More...
double const	lsst::meas::algorithms::interp::lpc_1s2_c2 = -0.2358
double const	lsst::meas::algorithms::interp::min2GaussianBias = -0.5641895835
	Mean value of the minimum of two N(0,1) variates. More...