MPPCADenoiser#

class patch_denoise.space_time.lowrank.MPPCADenoiser(patch_shape, patch_overlap, threshold_scale, **kwargs)[source]#

Denoising using Marchenko-Pastur principal components analysis thresholding.

Parameters:

patch_shape (tuple) – The patch shape
patch_overlap (tuple) – the overlap of each pixel
recombination (str, optional) – The recombination method of the patch. “weighted”, “average” or “center”. default “weighted”.
threshold_scale (float) – An extra factor multiplying the threshold.

Methods

`__init__`
`denoise`	Denoise the input_data, according to mask.

_patch_processing(patch, patch_idx=None, threshold_scale=1.0)[source]#: Process a patch with the MP-PCA method.