make_lupton_rgb

astropy.visualization.make_lupton_rgb(image_r, image_g, image_b, interval=None, stretch_object=None, minimum=None, stretch=5, Q=8, filename=None, output_dtype=<class 'numpy.uint8'>)

Return a Red/Green/Blue color image from 3 images using interconnected band scaling, and an arbitrary stretch function (by default, an asinh stretch). The input images can be int or float, and in any range or bit-depth.

For a more detailed look at the use of this method, see the document Creating color RGB images.

Parameters:

image_rndarray

Image to map to red.

image_gndarray

Image to map to green.

image_bndarray

Image to map to blue.

intervalBaseInterval subclass instance or array_like, optional

The interval object to apply to the data (either a single instance or an array for R, G, B). Default is ManualInterval with vmin=0.

stretch_objectBaseStretch subclass instance, optional

The stretch object to apply to the data. If set, the input values of minimum, stretch, and Q will be ignored. For the Lupton scheme, this would be an instance of LuptonAsinhStretch, but alternatively LuptonAsinhZscaleStretch or some other stretch can be used.

minimumfloat or array_like, optional

Deprecated. Intensity that should be mapped to black (a scalar or array of R, G, B). If None, each image’s minimum value is used. Default is None.

stretchfloat, optional

The linear stretch of the image. Default is 5

Qfloat, optional

The asinh softening parameter. Default is 8.

filenamestr, optional

Write the resulting RGB image to a file (file type determined from extension).

output_dtypenumpy scalar type, optional

Image output data type. Default is np.uint8.

Returns:

rgbndarray

RGB color image as an NxNx3 numpy array, with the specified data type format