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Python PIL | Image.resize () method

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Image.resize() Returns a copy of this image with Image.resize() size.

Syntax: Image.resize (size, resample = 0)
Parameters:

size - The requested size in pixels, as a 2-tuple: (width, height).
resample - An optional resampling filter. This can be one of PIL.Image.NEAREST (use nearest neighbor), PIL.Image.BILINEAR (linear interpolation), PIL.Image.BICUBIC (cubic spline interpolation), or PIL.Image.LANCZOS (a high-quality downsampling filter ). If omitted, or if the image has mode “1” or “P”, it is set PIL.Image.NEAREST.

Returns type : An Image object.

Image used:

 
# Improving the image class from the PIL module

from PIL import Image 

 
# Opens RGB image

im = Image. open (r "C: UsersSystem-PcDesktopybear.jpg"

 
# Image size in pixels (size original image)
# (This is optional)

width, height = im.size 

 
# Set points for cropped image

left = 4

top = height / 5

right = 154

bottom = 3 * height < code class = "keyword"> / 5

 
# Cropped image above dimension
# (This will not change the original image)

im1 = im.crop ((left, top, right, bottom))

newsize = ( 300 , 300 )

im1 = im1.resize (newsize)

# Shows the image in the image viewer
im1.show () 

Output:

Another example: here we use a different meaning of novelty.

# Improvement image class from the PIL module

from PIL import Image 

 
# Opens an RGB image

im = Image. open (r "C: UsersSystem-PcDesktopybear.jpg "

  
# Image size in pixels (original image size)
# (This is not required optional)

width, height = im .size 

 
# Set points for cropped image

left = 6

top = height / 4

right = 174

bottom = 3 * height / 4

 
# Cropped image above dimension
# ( This will not change the original image)

im1 = im.crop ((left, top, right, bottom))

newsize = ( 200 , 200 )

im1 = im1.resize (newsize)

# Shows the image in the image viewer
im1.show () 

Output:

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