Grayscale Image Contrast Calculator

Easy
Computer Vision

Write a Python function to calculate the contrast of a grayscale image using the difference between the maximum and minimum pixel values.

Examples

Example 1:
Input: img = np.array([[0, 50], [200, 255]])
Output: 255
Explanation: The function calculates contrast by finding the difference between the maximum (255) and minimum (0) pixel values in the image, resulting in a contrast of 255.

Starter Code

import numpy as np

def calculate_contrast(img) -> int:
	"""
	Calculate the contrast of a grayscale image.
	Args:
		img (numpy.ndarray): 2D array representing a grayscale image with pixel values between 0 and 255.
	"""
	# Your code here
	pass
Lines: 1Characters: 0
Ready
The AI Interview - Master AI/ML Interviews