OpenCV 3.x with Python By Example - Second Edition

Image scaling

In this section, we will discuss resizing an image. This is one of the most common operations in computer vision. We can resize an image using a scaling factor, or we can resize it to a particular size. Let's see how to do that:

import cv2img = cv2.imread('images/input.jpg')img_scaled = cv2.resize(img,None,fx=1.2, fy=1.2, interpolation = cv2.INTER_LINEAR)cv2.imshow('Scaling - Linear Interpolation', img_scaled)img_scaled = cv2.resize(img,None,fx=1.2, fy=1.2, interpolation = cv2.INTER_CUBIC)cv2.imshow('Scaling - Cubic Interpolation', img_scaled)img_scaled = cv2.resize(img,(450, 400), interpolation = cv2.INTER_AREA)cv2.imshow('Scaling - Skewed Size', img_scaled)cv2.waitKey()