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- ## module 03
- ## exercise 05
- ## simple look-up tables: brightness and contrast
- import cv2
- import numpy as np
- from matplotlib import pyplot as plt
- ## load image
- img = cv2.imread('/home/pi/Workfolder/images/bear.bmp',0)
- ## changing brightness by simply adding a scalar:
- dst = cv2.add(img,100)
- ## changing contrast by muliplying with a scalar:
- dst2 = cv2.multiply(img,2)
- ## display images
- plt.subplot(121),plt.imshow(img, cmap = "gray"),plt.title('Original')
- plt.xticks([]), plt.yticks([])
- plt.subplot(122),plt.imshow(dst, cmap = "gray"),plt.title('Brightness')
- plt.xticks([]), plt.yticks([])
- plt.subplot(122),plt.imshow(dst1, cmap = "gray"),plt.title('Contrast')
- plt.xticks([]), plt.yticks([])
- plt.show()
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