Arithmetic Operations

These are simple operations that allow us to directly add or subract to the color intensity.

Calculates the per-element operation of two arrays. The overall effect is increasing or decreasing brightness.



In [7]:

    
import cv2
import numpy as np

image = cv2.imread('images/input.jpg')

# Create a matrix of ones, then multiply it by a scaler of 100 
# This gives a matrix with same dimesions of our image with all values being 100
M = np.ones(image.shape, dtype = "uint8") * 175 

# We use this to add this matrix M, to our image
# Notice the increase in brightness
added = cv2.add(image, M)
cv2.imshow("Added", added)

# Likewise we can also subtract
# Notice the decrease in brightness
subtracted = cv2.subtract(image, M)
cv2.imshow("Subtracted", subtracted)

cv2.waitKey(0)
cv2.destroyAllWindows()



In [5]:

    
M = np.ones(image.shape, dtype = "uint8") * 75 
M









    Out[5]:





array([[[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]],

       [[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]],

       [[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]],

       ..., 
       [[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]],

       [[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]],

       [[75, 75, 75],
        [75, 75, 75],
        [75, 75, 75],
        ..., 
        [75, 75, 75],
        [75, 75, 75],
        [75, 75, 75]]], dtype=uint8)



In [ ]: