Image Pyramid using OpenCV | Python
Image Pyramids are one of the most beautiful concept of image processing.Normally, we work with images with default resolution but many times we need to change the resolution (lower it) or resize the original image in that case image pyramids comes handy.
pyrUp() function increases the size to double of its original size and
pyrDown() function decreases the size to half. If we keep the original image as a base image and go on applying
pyrDown function on it and keep the images in a vertical stack, it will look like a pyramid. The same is true for upscaling the original image by
Once we scale down and if we rescale it to the original size, we lose some information and the resolution of the new image is much lower than the original one.
Below is an example of Image Pyramiding –
matplotlib.pyplot as plt
Advantages of Image pyramids:
- Lowering of resolution
- Getting various sizes of image
- Image Blending
- Edge detection
Whether you're preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape, GeeksforGeeks Courses
are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we've already empowered, and we're here to do the same for you. Don't miss out - check it out now!