lsst.afw.display.rgb._rgbContinued Namespace Reference

Classes
class	AsinhMapping
class	AsinhZScaleMapping
class	LinearMapping
class	Mapping
class	ZScaleMapping

Functions
	computeIntensity (imageR, imageG=None, imageB=None)
	makeRGB (imageR, imageG=None, imageB=None, minimum=0, dataRange=5, Q=8, fileName=None, saturatedBorderWidth=0, saturatedPixelValue=None, xSize=None, ySize=None, rescaleFactor=None)
	displayRGB (rgb, show=True)
	writeRGB (fileName, rgbImage)

Function Documentation

computeIntensity()

lsst.afw.display.rgb._rgbContinued.computeIntensity	(		imageR,
			imageG = None,
			imageB = None )

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

Parameters
----------
imageR : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
    intensity of image that'll be mapped to red; or intensity if imageG and imageB are None
imageG : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
    intensity of image that'll be mapped to green; or None
imageB : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
    intensity of image that'll be mapped to blue; or None

Returns
-------
image : type of ``imageR``, ``imageG``, and `imageB``

Definition at line 30 of file _rgbContinued.py.

def computeIntensity(imageR, imageG=None, imageB=None):
    """Return a naive total intensity from the red, blue, and green intensities
 
    Parameters
    ----------
    imageR : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
        intensity of image that'll be mapped to red; or intensity if imageG and imageB are None
    imageG : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
        intensity of image that'll be mapped to green; or None
    imageB : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny)
        intensity of image that'll be mapped to blue; or None
 
    Returns
    -------
    image : type of ``imageR``, ``imageG``, and `imageB``
    """
    if imageG is None or imageB is None:
        assert imageG is None and imageB is None, \
            "Please specify either a single image or red, green, and blue images"
        return imageR
 
    imageRGB = [imageR, imageG, imageB]
 
    for i, c in enumerate(imageRGB):
        if hasattr(c, "getImage"):
            c = imageRGB[i] = c.getImage()
        if hasattr(c, "getArray"):
            imageRGB[i] = c.getArray()
 
    intensity = (imageRGB[0] + imageRGB[1] + imageRGB[2])/float(3)
    #
    # Repack into whatever type was passed to us
    #
    Image = afwImage.ImageU if intensity.dtype == 'uint16' else afwImage.ImageF
 
    if hasattr(imageR, "getImage"):  # a maskedImage
        intensity = afwImage.makeMaskedImage(Image(intensity))
    elif hasattr(imageR, "getArray"):
        intensity = Image(intensity)
 
    return intensity
 
 

displayRGB()

lsst.afw.display.rgb._rgbContinued.displayRGB	(		rgb,
			show = True )

Display an rgb image using matplotlib

Parameters
----------
rgb
    The RGB image in question
show : `bool`
    If `True`, call `matplotlib.pyplot.show()`

Definition at line 432 of file _rgbContinued.py.

def displayRGB(rgb, show=True):
    """Display an rgb image using matplotlib
 
    Parameters
    ----------
    rgb
        The RGB image in question
    show : `bool`
        If `True`, call `matplotlib.pyplot.show()`
    """
    import matplotlib.pyplot as plt
    plt.imshow(rgb, interpolation='nearest', origin="lower")
    if show:
        plt.show()
    return plt
 
 

makeRGB()

lsst.afw.display.rgb._rgbContinued.makeRGB	(		imageR,
			imageG = None,
			imageB = None,
			minimum = 0,
			dataRange = 5,
			Q = 8,
			fileName = None,
			saturatedBorderWidth = 0,
			saturatedPixelValue = None,
			xSize = None,
			ySize = None,
			rescaleFactor = None )

Make a set of three images into an RGB image using an asinh stretch and
optionally write it to disk

Parameters
----------
imageR
imageG
imageB
minimum : `float` or sequence of `float`
dataRange
Q : `int`
fileName : `str`
    The output file. The suffix defines the format, and must be supported by matplotlib
saturatedBorderWidth
    If saturatedBorderWidth is non-zero, replace saturated pixels with
    ``saturatedPixelValue``. Note that replacing saturated pixels requires
    that the input images be `lsst.afw.image.MaskedImage`.
saturatedPixelValue
xSize
ySize
rescaleFactor

Definition at line 385 of file _rgbContinued.py.

            xSize=None, ySize=None, rescaleFactor=None):
    """Make a set of three images into an RGB image using an asinh stretch and
    optionally write it to disk
 
    Parameters
    ----------
    imageR
    imageG
    imageB
    minimum : `float` or sequence of `float`
    dataRange
    Q : `int`
    fileName : `str`
        The output file. The suffix defines the format, and must be supported by matplotlib
    saturatedBorderWidth
        If saturatedBorderWidth is non-zero, replace saturated pixels with
        ``saturatedPixelValue``. Note that replacing saturated pixels requires
        that the input images be `lsst.afw.image.MaskedImage`.
    saturatedPixelValue
    xSize
    ySize
    rescaleFactor
    """
    if imageG is None:
        imageG = imageR
    if imageB is None:
        imageB = imageR
 
    if saturatedBorderWidth:
        if saturatedPixelValue is None:
            raise ValueError(
                "saturatedPixelValue must be set if saturatedBorderWidth is set")
        replaceSaturatedPixels(imageR, imageG, imageB,
                               saturatedBorderWidth, saturatedPixelValue)
 
    asinhMap = AsinhMapping(minimum, dataRange, Q)
    rgb = asinhMap.makeRgbImage(imageR, imageG, imageB,
                                xSize=xSize, ySize=ySize, rescaleFactor=rescaleFactor)
 
    if fileName:
        writeRGB(fileName, rgb)
 
    return rgb
 
 

writeRGB()

lsst.afw.display.rgb._rgbContinued.writeRGB	(		fileName,
			rgbImage )

Write an RGB image to disk

Parameters
----------
fileName : `str`
    The output file. The suffix defines the format, and must be supported by matplotlib

    Most versions of matplotlib support png and pdf (although the eps/pdf/svg writers may be buggy,
    possibly due an interaction with useTeX=True in the matplotlib settings).

    If your matplotlib bundles pil/pillow you should also be able to write jpeg and tiff files.
rgbImage
    The image, as made by e.g. makeRGB

Definition at line 449 of file _rgbContinued.py.

def writeRGB(fileName, rgbImage):
    """Write an RGB image to disk
 
    Parameters
    ----------
    fileName : `str`
        The output file. The suffix defines the format, and must be supported by matplotlib
 
        Most versions of matplotlib support png and pdf (although the eps/pdf/svg writers may be buggy,
        possibly due an interaction with useTeX=True in the matplotlib settings).
 
        If your matplotlib bundles pil/pillow you should also be able to write jpeg and tiff files.
    rgbImage
        The image, as made by e.g. makeRGB
    """
    import matplotlib.image
    matplotlib.image.imsave(fileName, rgbImage)