normalize_img

astrocut.normalize_img(img_arr, stretch='asinh', minmax_percent=None, minmax_value=None, invert=False)

Apply given stretch and scaling to an image array.

Parameters

img_arrarray

The input image array.

stretchstr

Optional, default ‘asinh’. The stretch to apply to the image array. Valid values are: asinh, sinh, sqrt, log, linear

minmax_percentarray

Optional. Interval based on a keeping a specified fraction of pixels (can be asymmetric) when scaling the image. The format is [lower percentile, upper percentile], where pixel values below the lower percentile and above the upper percentile are clipped. Only one of minmax_percent and minmax_value shoul be specified.

minmax_valuearray

Optional. Interval based on user-specified pixel values when scaling the image. The format is [min value, max value], where pixel values below the min value and above the max value are clipped. Only one of minmax_percent and minmax_value should be specified.

invertbool

Optional, default False. If True the image is inverted (light pixels become dark and vice versa).

Returns

responsearray

The normalized image array, in the form in an integer arrays with values in the range 0-255.