Images are stored in a computer as arrays or matrices. An image with a resolution of 256×256 has 256 rows and 256 columns. Using python programming, we can easily produce these types of images on the computer. Python is a popular programming language due to the enormous number of libraries available. NumPy is a Python library for creating arrays and performs mathematical operations on them. This blog will show you how to generate NumPy arrays and save them as images.
Table of Contents
Images are stored in a computer as arrays or matrices. An image with a resolution of 256×256 has 256 rows and 256 columns. Using python programming, we can easily produce these types of images on the computer. Python is a popular programming language due to the enormous number of libraries available. NumPy is a Python library for creating arrays and performs mathematical operations on them. This blog will show you how to generate NumPy arrays and save them as images.
Example 1:
The following are the steps to convert a NumPy array to an image:
- Define width and height of the numpy array
- Create numpy array using numpy.zeros()
- Convert numpy arrary into image using Image.fromarray()
- Save the image
- Display the image
from PIL import Image
import numpy
height, width = 224, 224
np_array = numpy.zeros((height, width, 3), dtype=np.uint8)
img = Image.fromarray(np_array, 'RGB')
img.save('black_image.png')
img.show()Example 2:
The following code will generate a black image of 512×512 size. A green box will appear on this image. You can also use different colors such as Red, Green and Blue etc. for creating images.
from PIL import Image
import numpy
height, width = 512, 512
np_array = numpy.zeros((height, width, 3), dtype=np.uint8)
np_array[0:256, 0:256] = [0, 255, 0]
img = Image.fromarray(np_array, 'RGB')
img.save('green_box.png')
img.show()
