Full Changelog¶

0.4.2 (2022-05-24)¶

Breaking Changes¶

Minimum version of sunpy required is now 4.0.0

0.4.1 (2022-04-05)¶

Features¶

Add calculate_solar_rotate_shift and mapsequence_solar_derotate to the sunkit_image.coalignment module. (#81)

0.4.0 (2022-03-11)¶

Features¶

Add the coalignment module ported from coalignment. (#78)

0.3.2 (2022-03-08)¶

Trivial/Internal Changes¶

Minor changes to ensure that sunkit-image is buildable on conda-forge.

0.3.1 (2021-11-19)¶

Fixed a bug where a UnitConversionError was thrown if a non-dimensionless Quantity object was input for the signal in cross_correlation. (#72)
Fixed a bug where the way we dealt with Quantity objects was inconsistent with Array objects in newer versions of numpy. The pre_check_hook option keyword argument has also been removed from time_lag and post_check_hook has been renamed to array_check and now accepts two arguments. (#72)

Trivial/Internal Changes¶

A warning is now raised if the input data to mgn contain any NaNs. (#73)

0.3.0 (2021-06-02)¶

Features¶

The sunkit_image.time_lag module provides functions for computing the cross-correlation, time lag, and peak cross-correlation for N-dimensional time series. (#61)
Increased the minimum version of “sunpy” to 3.0.0, the new LTS release

0.2.0 (2021-05-04)¶

Features¶

The minimum and maximum values of the gamma transform can now be specified for sunkit_image.enhance.mgn(). (#60)

Bug Fixes¶

Increased the minimum version of “skimage” to 0.18.0, preventing faulty code in sunkit-image.utils.points_in_poly(). (#59)

Trivial/Internal Changes¶

Added multiple unit tests to increase code coverage. (#59)
Increased minimum supported version of sunpy to 2.0.0
Many internal package updates to documentation, the continuous integration and etc.

0.1.0 (2020-04-30)¶

Features¶

Added a class (sunkit_image.utils.noise.NoiseLevelEstimation) for noise level estimation of an image. (#12)
Added a new function (sunkit_image.radial.fnrgf) to normalize the radial brightness gradient using a Fourier approximation. (#17)
Added a function (sunkit_image.enhance.mgn) for applying Multi-scale Gaussian Normalization to an image (numpy.ndarray). (#30)
Added a new function (sunkit_image.trace.occult2) to automatically trace out loops/curved structures in an image. (#31)
Added an implementation of the Automated Swirl Detection Algorithm (ASDA). (#40)

Improved Documentation¶

Added an example on how to use astroscrappy.detect_cosmics to eliminate cosmic ray hits in solar images. (#35)

Trivial/Internal Changes¶

Transferred sunkit_image.utils.noise.NoiseLevelEstimation from class object into a series of functions. (#38)