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:

imagendarray: The input image to be blurred, represented as a NumPy array or similar format
stdevFloat: 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:

ndarray: The blurred image as a NumPy array.

Raises:

ValueError: If the specified standard deviation is not positive.

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 ]