regularizepsf.image_processing#

Functions#

`calculate_background`(→ numpy.ndarray)	Fits a planar background to input patch data to use for central star isolation.
`_scale_image`(image, interpolation_scale, hdu_choice)
`_find_patches`(image, star_threshold, star_mask, ...[, ...])
`process_single_image`(args)	Process a single image to extract patches.

Module Contents#

regularizepsf.image_processing.calculate_background(patch: numpy.ndarray) → numpy.ndarray[source]#

Fits a planar background to input patch data to use for central star isolation. Patch boundaries are ignored, along with the central peak star. Remaining pixels are fit to a plan with a least squares method, with values of zero marked as nans.

Parameters:: patch (np.ndarray) – Input patch array to use for background subtraction
Returns:: Planar background fit array
Return type:: np.ndarray

regularizepsf.image_processing._scale_image(image, interpolation_scale, hdu_choice)[source]#

regularizepsf.image_processing._find_patches(image, star_threshold, star_mask, interpolation_scale, psf_size, i, saturation_threshold: float = np.inf, image_mask: numpy.ndarray | None = None, star_minimum: float = 0, star_maximum: float = np.inf)[source]#

regularizepsf.image_processing.process_single_image(args)[source]#

Process a single image to extract patches.

Parameters:: args (tuple) – Tuple containing (i, image, star_mask, interpolation_scale, psf_size, star_threshold, saturation_threshold, image_mask)
Returns:: Dictionary of patches found in the image
Return type:: dict