New implementation of scaling (intervals and stretching) and new Normalize class for use with Matplotlib.
Added CompositeStretch and ContrastBias stretch
Whitespace
Implemented Histogram Equalization
Allow in-place stretching
Add the option to sub-sample the data for the PercentileInterval
Implement @larrybradley’s comments
Make intervals into full transforms, and added scale_image functional interface
Added initial tests
Added new stretches from ds9

Added a number of stretches (value redistributions) based on ds9
algorithms.
Remove duplicate tests
Remove old scaling/stretching API
Renamed scale_image to stats since it now only contains a sigma clipped data stats function
Fix scale_image and add tests
Added missing __init__.py
Fix tests
Don’t import ImageNormalize into imageutils.scaling, which allows Matplotlib to be an optional dependency.
Remove references to functions that no longer exist
Fix sphinx build warnings
Fix stretches so they always return [0:1]