ToolPythonIntermediate Denoise a low-light micrograph with scikit-image: what each filter keeps noise = restoration.estimate_sigma(noisy)print(f"default weight 0.1 on img_as_float: {0.1 / restoration.estimate_sigma(f):,.0f} × its noise level, "
ToolPythonIntermediate Phase correlation in scikit-image: undo the drift of a time-lapse sigma1, sigma50 = estimate_sigma(frames[0]), estimate_sigma(frames[-1])sigma = np.array([estimate_sigma(f) for f in frames])