sunkit_image.utils.noise Module

This module implements a series of functions for noise level estimation.

Functions

noise_estimation(img[, patchsize, decim, ...])	Estimates the noise level of an image.
noiselevel(img, patchsize, decim, ...)	Calculates the noise level of the input array.
conv2d_matrix(H, rows, columns)	Specialized 2D convolution matrix generation.
weak_texture_mask(img, patchsize, thresh)	Calculates the weak texture mask.

sunkit_image.utils.utils Module

This module contains a collection of functions of general utility.

Functions

bin_edge_summary(r, binfit)	Return a summary of the bin edges.
calculate_gamma(pm, vel, pnorm, n)	Calculate gamma values.
equally_spaced_bins([inner_value, ...])	Define a set of equally spaced bins between the specified inner and outer values.
find_pixel_radii(smap[, scale])	Find the distance of every pixel in a map from the center of the Sun.
get_radial_intensity_summary(smap, ...[, ...])	Get a summary statistic of the intensity in a map as a function of radius.
points_in_poly(poly)	Return polygon as grid of points inside polygon.
reform2d(array[, factor])	Reform a 2d array by a given factor.
remove_duplicate(edge)	Remove duplicated points in a the edge of a polygon.