punchbowl.level1.despike#
Functions#
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Create radial array. |
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Remove cosmic ray spikes from an image using spikejones algorithm. |
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Prefect task to perform despiking. |
Module Contents#
- punchbowl.level1.despike.radial_array(shape: tuple[int], center: tuple[int] | None = None) numpy.ndarray#
Create radial array.
- punchbowl.level1.despike.spikejones(image: numpy.ndarray, unsharp_size: int = 3, method: str = 'convolve', alpha: float = 1, dilation: int = 0)#
Remove cosmic ray spikes from an image using spikejones algorithm.
This code is based on drzowie/solarpdl-tools
- Parameters:
image (np.ndarray) – an array representing an image
unsharp_size (int) – half window size in pixels for unsharp mask
method (str (either "convolve" or "median")) – method for applying the unsharp mask
alpha (float) – threshold for deciding a pixel is a cosmic ray spike, i.e. difference between unsharp and smoothed image
dilation (int) – how many times to dilate pixels identified as spikes, allows for identifying a larger spike region
- Returns:
an image with spikes replaced by the average of their neighbors and the locations of all spikes
- Return type:
(np.ndarray, np.ndarray)
- punchbowl.level1.despike.despike_task(data_object: ndcube.NDCube, unsharp_size: int = 3, method: str = 'convolve', alpha: float = 1, dilation: int = 0) ndcube.NDCube#
Prefect task to perform despiking.
- Parameters:
data_object (PUNCHData) – data to operate on
unsharp_size (int) – half window size in pixels for unsharp mask
method (str (either "convolve" or "median")) – method for applying the unsharp mask
alpha (float) – threshold for deciding a pixel is a cosmic ray spike, i.e. difference between unsharp and smoothed image
dilation (int) – how many times to dilate pixels identified as spikes, allows for identifying a larger spike region
- Returns:
a modified version of the input with spikes removed
- Return type:
PUNCHData