1. Obtain histogram equalization for both original and negative of an image in Python. give direct one sniipit code

Sure, here is a Python code snippet that performs histogram equalization on both the original and negative of an image using OpenCV and NumPy libraries.

import cv2
import numpy as np

# Load the image
original_img = cv2.imread('image.jpg', 0)

# Perform histogram equalization on the original image
equalized_img = cv2.equalizeHist(original_img)

# Create a negative image by subtracting the original image from 255
negative_img = 255 - original_img

# Perform histogram equalization on the negative image
equalized_negative_img = cv2.equalizeHist(negative_img)

# Display the images
cv2.imshow('Original Image', original_img)
cv2.imshow('Equalized Image', equalized_img)
cv2.imshow('Negative Image', negative_img)
cv2.imshow('Equalized Negative Image', equalized_negative_img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Please replace 'image.jpg' with the path to your image. This code will display the original image, the equalized image, the negative image, and the equalized negative image.