Scaling, re-sizing and interpolations

Re-sizing is very easy using the cv2.resize function, it's arguments are:

cv2.resize(image, dsize(output image size), x scale, y scale, interpolation)



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import cv2
import numpy as np

# load our input image
image = cv2.imread('images/input.jpg')

# Let's make our image 3/4 of it's original size
image_scaled = cv2.resize(image, None, fx=0.75, fy=0.75)
cv2.imshow('Scaling - Linear Interpolation', image_scaled) 
cv2.waitKey()

# Let's double the size of our image
img_scaled = cv2.resize(image, None, fx=2, fy=2, interpolation = cv2.INTER_CUBIC)
cv2.imshow('Scaling - Cubic Interpolation', img_scaled)
cv2.waitKey()

# Let's skew the re-sizing by setting exact dimensions
img_scaled = cv2.resize(image, (900, 400), interpolation = cv2.INTER_AREA)
cv2.imshow('Scaling - Skewed Size', img_scaled) 
cv2.waitKey()

cv2.destroyAllWindows()



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