imagenie.blur#

Functions#

blur(image[, stdev])

Add noise to image using a Gaussian filter.

Module Contents#

imagenie.blur.blur(image, stdev=1.0)[source]#

Add noise to image using a Gaussian filter.

Parameters:

image (np.ndarray) –
The input image to be blurred, represented as a NumPy array

or similar format.
stdev (Float) –
Standard deviation for Gaussian/Normal distribution used to

calculate the value of image pixels after filtering. Default is 1.0 for Standard Normal Distribution.

Returns:

The blurred image as a NumPy array.

Return type:

np.ndarray

Examples

>>> print(image)
    [0.10196079, 0.627451  , 0.74509805],
    [0.11372549, 0.6666667 , 0.78431374],
    [0.1254902 , 0.7058824 , 0.81960785]
>>> blur(image)
    [0.2991612 , 0.5070358 , 0.66973376],
    [0.30862695, 0.52062243, 0.6859944 ],
    [0.31771535, 0.53367144, 0.70153326]
>>> print(image2)
    [0.09803922, 0.5882353 , 0.70980394],
    [0.1254902 , 0.70980394, 0.8235294 ],
    [0.1254902 , 0.70980394, 0.8235294 ]
>>> blur(image2,stdev=2)
    [0.49137527, 0.5290323 , 0.56662756],
    [0.49490717, 0.53276986, 0.5705702 ],
    [0.4977027 , 0.5357282 , 0.5736908 ]