skimage 0.17.2

ParametersReturnsBackRef
adjust_log(image, gain=1, inv=False)

This function transforms the input image pixelwise according to the equation O = gain*log(1 + I) after scaling each pixel to the range 0 to 1. For inverse logarithmic correction, the equation is O = gain*(2**I - 1) .

Parameters

image : ndarray

Input image.

gain : float, optional

The constant multiplier. Default value is 1.

inv : float, optional

If True, it performs inverse logarithmic correction, else correction will be logarithmic. Defaults to False.

Returns

out : ndarray

Logarithm corrected output image.

Performs Logarithmic correction on the input image.

See Also

adjust_gamma

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.exposure.exposure.adjust_gamma

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File: /skimage/exposure/exposure.py#497
type: <class 'function'>
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