LSST Applications g070148d5b3+33e5256705,g0d53e28543+25c8b88941,g0da5cf3356+2dd1178308,g1081da9e2a+62d12e78cb,g17e5ecfddb+7e422d6136,g1c76d35bf8+ede3a706f7,g295839609d+225697d880,g2e2c1a68ba+cc1f6f037e,g2ffcdf413f+853cd4dcde,g38293774b4+62d12e78cb,g3b44f30a73+d953f1ac34,g48ccf36440+885b902d19,g4b2f1765b6+7dedbde6d2,g5320a0a9f6+0c5d6105b6,g56b687f8c9+ede3a706f7,g5c4744a4d9+ef6ac23297,g5ffd174ac0+0c5d6105b6,g6075d09f38+66af417445,g667d525e37+2ced63db88,g670421136f+2ced63db88,g71f27ac40c+2ced63db88,g774830318a+463cbe8d1f,g7876bc68e5+1d137996f1,g7985c39107+62d12e78cb,g7fdac2220c+0fd8241c05,g96f01af41f+368e6903a7,g9ca82378b8+2ced63db88,g9d27549199+ef6ac23297,gabe93b2c52+e3573e3735,gb065e2a02a+3dfbe639da,gbc3249ced9+0c5d6105b6,gbec6a3398f+0c5d6105b6,gc9534b9d65+35b9f25267,gd01420fc67+0c5d6105b6,geee7ff78d7+a14128c129,gf63283c776+ede3a706f7,gfed783d017+0c5d6105b6,w.2022.47
LSST Data Management Base Package
|
#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 | |
namespace | lsst |
namespace | lsst::afw |
namespace | lsst::afw::detection |
namespace | lsst::meas |
namespace | lsst::meas::algorithms |
namespace | 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... | |