Wand motion_blur() function – Python

The motion_blur() function is an inbuilt function in the Python Wand ImageMagick library which is used to simulate motion blur. This function convolves the image with a Gaussian operator of the given radius and standard deviation.
Syntax:
motion_blur(radius, sigma, angle)Parameters: This function accepts three parameters as mentioned above and defined below:
- radius: This parameter is used to store the radius of the Gaussian, in pixels.
- sigma: This parameter is used to find the standard deviation of the Gaussian, in pixels.
- angle: This parameter apply the effect along this angle.
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 imagewith Image(filename ='../zambiatek.png') as image: # Clone the image in order to process with image.clone() as motion_blur: # Invoke motion_blur function with radius 25, sigma 3 and angle 45 motion_blur.motion_blur(25, 3, 45) # Save the image motion_blur.save(filename ='motion_blur1.jpg') |
Output:
Example 2:
Python3
# Import libraries from the wand from wand.image import Imagefrom wand.drawing import Drawingfrom wand.color import Colorwith 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 motion_blur function with radius 30, sigma 4 and angle 260 pic.motion_blur(30, 4, 260) # Save the image pic.save(filename ='motion_blur2.jpg') |
Output:




