noiselevel#
- sunkit_image.utils.noiselevel(img, patchsize, decim, confidence, iterations)[source]#
Calculates the noise level of the input array.
- Parameters:
img (
numpy.ndarray) – Single Numpy image array.patchsize (
int, optional) – Patch size, defaults to 7.decim (
int, optional) – Decimation factor, defaults to 0. If you use large number, the calculation will be accelerated.confidence (
float, optional) – Confidence interval to determine the threshold for the weak texture. In this algorithm, this value is usually set the value very close to one. Defaults to 0.99.iterations (
int, optional) – Number of iterations, defaults to 3.
- Returns:
tuple– A tuple containing the estimated noise levels, threshold to extract weak texture patches at the last iteration, and number of extracted weak texture patches.