File offsetImage.h

namespace lsst

Class for a simple mapping implementing a generic AstrometryTransform.

Remove all non-astronomical counts from the Chunk Exposure’s pixels.

Forward declarations for lsst::utils::Cache

For details on the Cache class, see the Cache.h file.

It uses a template rather than a pointer so that the derived classes can use the specifics of the transform. The class simplePolyMapping overloads a few routines.

A base class for image defects

Numeric constants used by the Integrate.h integrator routines.

Compute Image Statistics

Note

Gauss-Kronrod-Patterson quadrature coefficients for use in quadpack routine qng. These coefficients were calculated with 101 decimal digit arithmetic by L. W. Fullerton, Bell Labs, Nov 1981.

Note

The Statistics class itself can only handle lsst::afw::image::MaskedImage() types. The philosophy has been to handle other types by making them look like lsst::afw::image::MaskedImage() and reusing that code. Users should have no need to instantiate a Statistics object directly, but should use the overloaded makeStatistics() factory functions.

namespace afw
namespace math

Functions

template<typename ImageT>
std::shared_ptr<ImageT> offsetImage(ImageT const &image, float dx, float dy, std::string const &algorithmName = "lanczos5", unsigned int buffer = 0)

Return an image offset by (dx, dy) using the specified algorithm

Note

The image pixels are always offset by a fraction of a pixel and the image origin (XY0) picks is modified to handle the integer portion of the offset. In the special case that the offset in both x and y lies in the range (-1, 1) the origin is not changed. Otherwise the pixels are shifted by (-0.5, 0.5] pixels and the origin shifted accordingly.

Parameters

  • image: The image to offset

  • dx: move the image this far in the column direction

  • dy: move the image this far in the row direction

  • algorithmName: Type of resampling Kernel to use

  • buffer: Width of buffer (border) around kernel image to allow for warping edge effects (pixels). Values < 0 are treated as 0. This is only used during computation; the final image has the same dimensions as the kernel.

Exceptions

  • lsst::pex::exceptions::InvalidParameterError: if the algorithm is invalid

template<typename ImageT>
std::shared_ptr<ImageT> rotateImageBy90(ImageT const &image, int nQuarter)

Rotate an image by an integral number of quarter turns

Parameters

  • image: The image to rotate

  • nQuarter: the desired number of quarter turns

template<typename ImageT>
std::shared_ptr<ImageT> flipImage(ImageT const &inImage, bool flipLR, bool flipTB)

Flip an image leftright and/or topbottom

Parameters

  • inImage: The image to flip

  • flipLR: Flip left <> right?

  • flipTB: Flip top <> bottom?

template<typename ImageT>
std::shared_ptr<ImageT> binImage(ImageT const &inImage, int const binX, int const binY, lsst::afw::math::Property const flags = lsst::afw::math::MEAN)

Parameters

  • inImage: The image to bin

  • binX: Output pixels are binX*binY input pixels

  • binY: Output pixels are binX*binY input pixels

  • flags: how to generate super-pixels

template<typename ImageT>
std::shared_ptr<ImageT> binImage(ImageT const &inImage, int const binsize, lsst::afw::math::Property const flags = lsst::afw::math::MEAN)

Parameters

  • inImage: The image to bin

  • binsize: Output pixels are binsize*binsize input pixels

  • flags: how to generate super-pixels