Wand adaptive_sharpen() function in Python Improve Improve Like Article Like Save Share Report Adaptive Sharpen is similar to normal sharpening but the only difference is sharpen the image more intensely around the pixels with detectable edges, and less intensely away from the edges. Hence output image is more defined and clearer than normal sharpen. Syntax : wand.image.adaptive_sharpen(radius, sigma, channel) Parameters : Parameter Input Type Description radius numbers.Real size of gaussian aperture. sigma numbers.real Standard deviation of the gaussian filter. channel basestring Apply the sharpen effect on a specific channel. Optional and None by default. Source Image: Example 1: # import Image from wand.image module from wand.image import Image # Read image using Image function with Image(filename ="koala.jpeg") as img: # generating sharp image using adaptive_sharpen() function. img.adaptive_sharpen(radius = 8, sigma = 4) img.save(filename ="askoala.jpeg") Output: Example 2: Increasing value of radius and sigma # import Image from wand.image module from wand.image import Image # Read image using Image function with Image(filename ="koala.jpeg") as img: # generating sharp image using adaptive_sharpen() function. img.adaptive_sharpen(radius = 20, sigma = 10) img.save(filename ="askoala2.jpeg") Output: Last Updated : 08 May, 2020 Like Article Save Article Previous Wand vignette() function in Python Next Python - spread()method in Wand Share your thoughts in the comments Add Your Comment Please Login to comment... Similar Reads Wand adaptive_sharpen() function - Python Wand selective_blur() function in Wand python Wand function() function in Python Wand image - Baseimage.kuwahara() function in Python Wand image.edge function in Python Wand gaussian_blur() function in Python Wand transform() function in Python Wand crop() function in Python Wand rotational_blur() function in Python Wand - blur() function in Python Like R RahulSabharwal Follow Article Tags : Python-wand Python Practice Tags : python