Image Pyramid using OpenCV | Python

An image pyramid is a set of reduced size versions of an image. It is useful for image processing tasks such as object recognition, template matching, and image registration.

In OpenCV, you can create an image pyramid using the pyramidUp() function and an image pyramid with reduced size images using the pyramidDown() function.

Here's an example of how to create an image pyramid using OpenCV in Python:

import cv2

# Load the image
img = cv2.imread('image.jpg')

# Create an empty list to store the images in the pyramid
images = []

# Use the pyramidUp() function to create the pyramid
temp = img
for i in range(3):
    images.append(temp)
    temp = cv2.pyrUp(temp)

# Display the images in the pyramid
for i, image in enumerate(images):
    cv2.imshow(f'Level {i}', image)

cv2.waitKey(0)
cv2.destroyAllWindows()

This code creates a list of images with decreasing sizes, starting from the original image and using the pyrUp() function to reduce the size at each iteration. The resulting images are then displayed using the imshow() function.

You can use the pyramidDown() function in a similar way to create a pyramid with reduced size images.

I hope this helps! Let me know if you have any questions.