Hands-On Image Processing with Python

Sharpening with Laplacian

An image can be sharpened using the Laplacian filter with the following couple of steps:

1. Apply the Laplacian filter to the original input image.
2. Add the output image obtained from step 1 and the original input image (to obtain the sharpened image). The following code block demonstrates how to implement the preceding algorithm using scikit-image filters module's laplace() function:

from skimage.filters import laplaceim = rgb2gray(imread('../images/me8.jpg'))im1 = np.clip(laplace(im) + im, 0, 1)pylab.figure(figsize=(20,30))pylab.subplot(211), plot_image(im, 'original image')pylab.subplot(212), plot_image(im1, 'sharpened image')pylab.tight_layout()pylab.show()

The following is the output of the preceding code block, ...