How to do it...

1. Create a new Python file and import the following packages:

# Scaling (Resizing) Images - Cubic, Area, Linear Interpolations 
# Interpolation is a method of estimating values between known data points  
# Import Computer Vision package - cv2 
import cv2 
# Import Numerical Python package - numpy as np 
import numpy as np 

1. Read the image using the built-in imread function:

image = cv2.imread('image_3.jpg') 

1. Display the original image using the built-in imshow function:

cv2.imshow("Original", image) 

1. Wait until any key is pressed:

cv2.waitKey() 

1. Adjust the image size based on the operator's command:

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

1. Adjust the image size using cubic interpolation:

# Scaling using cubic interpolation 
scaling_cubic = cv2.resize(image, None, fx=.75, fy=.75, interpolation = cv2.INTER_CUBIC) 

1. Show the output image:

# Display cubic interpolated image 
cv2.imshow('Cubic Interpolated', scaling_cubic) 

1. Wait until any key is pressed:

cv2.waitKey()

1. Adjust the image size using area interpolation:

# Scaling using area interpolation 
scaling_skewed = cv2.resize(image, (600, 300), interpolation = cv2.INTER_AREA) 

1. Show the output image:

# Display area interpolated image 
cv2.imshow('Area Interpolated', scaling_skewed)  

1. Wait for the instruction from the operator:

# Wait until any key is pressed 
cv2.waitKey() 

1. Adjust the image size using linear interpolation:

# Scaling using linear interpolation 
scaling_linear  = cv2.resize(image, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR) 

1. Show the output image:

# Display linear interpolated image 
cv2.imshow('Linear Interpolated', scaling_linear)  

1. Wait until any key is pressed:

cv2.waitKey() 

1. After completing the image scaling task, terminate the program execution:

# Close all windows 
cv2.destroyAllWindows() 

1. The command used to execute the Scaling.py Python program is shown here:

1. The original image used for scaling is shown here:

1. Linear interpolated output obtained after executing the Scaling.py file is shown here:

1. The area-interpolated output obtained after executing the Scaling.py file is shown here:

1. The cubic-interpolated output obtained after executing the Scaling.py file is shown here: