I am new to image processing. I program in Python3 and uses the OpenCV image processing library.I want to adjust the following attributes.
For 4, 5, 6. I am using the following code to convert to HSV space.
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv)
h += value # 4
s += value # 5
v += value # 6
final_hsv = cv2.merge((h, s, v))
img = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)
The only tutorial I found for 1 and 2 is here. The tutorial uses C++, but I program in Python. Also, I do not know how to adjust 3. vibrance. I would very much appreciate the help, thanks!.
Thanks to @MarkSetchell for providing the link. In short, the answers uses numpy only and the formula can be presented as in below.
new_image = (old_image) × (contrast/127 + 1) - contrast + brightness
Here contrast and brightness are integers in the range [-127,127]. The scalar 127 is used for this range. Also, below is the code I used.
brightness = 50
contrast = 30
img = np.int16(img)
img = img * (contrast/127+1) - contrast + brightness
img = np.clip(img, 0, 255)
img = np.uint8(img)
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