_calibrate_denoiser_search(image, denoise_function, denoise_parameters, *, stride=4, approximate_loss=True)
Input data to be denoised (converted using img_as_float
).
Denoising function to be calibrated.
Ranges of parameters for :None:None:`denoise_function` to be calibrated over.
Stride used in masking procedure that converts :None:None:`denoise_function` to J-invariance.
Whether to approximate the self-supervised loss used to evaluate the denoiser by only computing it on one masked version of the image. If False, the runtime will be a factor of :None:None:`stride**image.ndim` longer.
List of parameters tested for :None:None:`denoise_function`, as a dictionary of kwargs.
Self-supervised loss for each set of parameters in :None:None:`parameters_tested`.
Return a parameter search history with losses for a denoise function.
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