Wand sharpen() function - Python Last Updated : 19 May, 2021 Suggest changes Share Like Article Like Report The sharpen() function is an inbuilt function in the Python Wand ImageMagick library which is used to sharpen the image. Syntax: sharpen(radius, sigma) Parameters: This function accepts four parameters as mentioned above and defined below: radius: This parameter stores the radius value of the sharpness.sigma: This parameter stores the sigma level of the sharpen image. Return Value: This function returns the Wand ImageMagick object. Original Image: Example 1: Python3 # Import library from Image from wand.image import Image # Import the image with Image(filename ='../geeksforgeeks.png') as image: # Clone the image in order to process with image.clone() as sharpen: # Invoke sharpen function with radius 50 and sigma 40 sharpen.sharpen(50, 40) # Save the image sharpen.save(filename ='sharpen1.jpg') Output: Example 2: Python3 # Import libraries from the wand from wand.image import Image from wand.drawing import Drawing from wand.color import Color with Drawing() as draw: # Set Stroke color the circle to black draw.stroke_color = Color('black') # Set Width of the circle to 2 draw.stroke_width = 1 # Set the fill color to 'White (# FFFFFF)' draw.fill_color = Color('white') # Invoke Circle function with center at 50, 50 and radius 25 draw.circle((200, 200), # Center point (100, 100)) # Perimeter point # Set the font style draw.font = '../Helvetica.ttf' # Set the font size draw.font_size = 30 with Image(width = 400, height = 400, background = Color('# 45ff33')) as pic: # Set the text and its location draw.text(int(pic.width / 3), int(pic.height / 2), 'GeeksForGeeks !') # Draw the picture draw(pic) # Invoke sharpen function method with radius 40 and sigma 30 pic.sharpen(40, 30) # Save the image pic.save(filename ='sharpen2.jpg') Output: S sarthak_ishu11 Follow 0 Article Tags : Python Image-Processing Python-wand Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read My Profile ${profileImgHtml} My Profile Edit Profile My Courses Join Community Transactions Logout Like