LinearMapping¶

class lsst.afw.display.LinearMapping(minimum=None, maximum=None, image=None)¶

A linear map of red, blue, green intensities into uint8 values

Parameters:

minimumfloat or sequence of float: Intensity that should be mapped to black. If an array, has three elements for R, G, B.
maximumfloat: Intensity that should be mapped to white
image: Image to estimate minimum/maximum if not explicitly set

Methods Summary

`intensity`(imageR, imageG, imageB)	Return the total intensity from the red, blue, and green intensities
`makeRgbImage`([imageR, imageG, imageB, ...])	Convert 3 arrays, imageR, imageG, and imageB into a numpy RGB image
`mapIntensityToUint8`(intensity)	Return an array which, when multiplied by an image, returns that image mapped to the range of a uint8, [0, 255] (but not converted to uint8)

Methods Documentation

intensity(imageR, imageG, imageB)¶

Return the total intensity from the red, blue, and green intensities

Notes

This is a naive computation, and may be overridden by subclasses

makeRgbImage(imageR=None, imageG=None, imageB=None, xSize=None, ySize=None, rescaleFactor=None)¶

Convert 3 arrays, imageR, imageG, and imageB into a numpy RGB image

imageRlsst.afw.image.Image or numpy.ndarray, (Nx, Ny): Image to map to red (if None, use the image passed to the ctor)
imageGlsst.afw.image.Image or numpy.ndarray, (Nx, Ny), optional: Image to map to green (if None, use imageR)
imageBlsst.afw.image.Image or numpy.ndarray, (Nx, Ny), optional: Image to map to blue (if None, use imageR)
xSizeint, optional: Desired width of RGB image. If ySize is None, preserve aspect ratio
ySizeint, optional: Desired height of RGB image
rescaleFactorfloat, optional: Make size of output image rescaleFactor*size of the input image

mapIntensityToUint8(intensity)¶

Return an array which, when multiplied by an image, returns that image mapped to the range of a uint8, [0, 255] (but not converted to uint8)

The intensity is assumed to have had minimum subtracted (as that can be done per-band)