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
andmapsequence_solar_derotate
to thesunkit_image.coalignment
module. (#81)
0.4.0 (2022-03-11)¶
Features¶
Add the
coalignment
module ported fromcoalignment
. (#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-dimensionlessQuantity
object was input for the signal incross_correlation
. (#72)Fixed a bug where the way we dealt with
Quantity
objects was inconsistent withArray
objects in newer versions ofnumpy
. Thepre_check_hook
option keyword argument has also been removed fromtime_lag
andpost_check_hook
has been renamed toarray_check
and now accepts two arguments. (#72)
Trivial/Internal Changes¶
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)