Image Scaling

Image scaling is a process used to resize a digital image. We perform two things in the image scaling either we enlarge the image or we shrink the image, OpenCV has a built-in function cv2.resize() for image scaling.

Shrinking an image:

img_shrinked = cv2.resize(image, (350, 300),
                          interpolation = cv2.INTER_AREA)

Note: Here 350 and 300 are the height and width of the shrunk image respectively

Enlarging Image:

img_enlarged = cv2.resize(img_shrinked, None,
                          fx=1.5, fy=1.5,
                          interpolation=cv2.INTER_CUBIC)

Python3

import numpy as np
import cv2 as cv
img = cv.imread('girlImage.jpg', 0)
rows, cols = img.shape
img_shrinked = cv.resize(img, (250, 200),
                         interpolation=cv.INTER_AREA)
cv.imshow('img', img_shrinked)
img_enlarged = cv.resize(img_shrinked, None,
                         fx=1.5, fy=1.5,
                         interpolation=cv.INTER_CUBIC)
cv.imshow('img', img_enlarged)
cv.waitKey(0)
cv.destroyAllWindows()

Output:

Image Transformations using OpenCV in Python

In this tutorial, we are going to learn Image Transformation using the OpenCV module in Python.

Image Scaling

Python3

Image Transformations using OpenCV in Python

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