November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Smoothing with the Gaussian blur filter
The Gaussian blur filter is also a linear filter but, unlike the simple mean filter, it takes the weighted average of the pixels inside the kernel window to smooth a pixel (the weight corresponding to a neighbor pixel decreases exponentially with the distance of the neighbor from the pixel). The following code shows how the PIL ImageFilter.GaussianBlur() can be used to smooth a noisier image with different radius parameter values for the kernel:
im = Image.open('../images/mandrill_spnoise_0.2.jpg')pylab.figure(figsize=(20,6))i = 1for radius in range(1, 4): im1 = im.filter(ImageFilter.GaussianBlur(radius)) pylab.subplot(1,3,i), plot_image(im1, 'radius = ' + str(round(radius,2))) i += 1pylab.suptitle('PIL ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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