smooth_with_function_and_mask(image, function, mask)
This function calculates the fractional contribution of masked pixels by applying the function to the mask (which gets you the fraction of the pixel data that's due to significant points). We then mask the image and apply the function. The resulting values will be lower by the bleed-over fraction, so you can recalibrate by dividing by the function on the mask to recover the effect of smoothing from just the significant pixels.
Image you want to smooth.
A function that does image smoothing.
Mask with 1's for significant pixels, 0's for masked pixels.
Smooth an image with a linear function, ignoring masked pixels.
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.measure.block.block_reduce
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