Images captured in dim light mostly not have a much better contrast so an (Image Contrast Adjusting filter) filter helps accordingly to adjusts and increase its contrast and hence we are having a better version of the image. Hence this filter helps to get a high contrast image.
Firstly import the following python libraries
- Matplotlib,
- NumPy
- PIL Save the image and your code in the same folder Run the python code
- Imported the required libraries ( Numpy, Matplotlib, PIL, IPython.display)
- Read the input image using Image from PIL library
- Converted the image into an array and then flatten it making it a 1d array
- Count the number of occurance of each pixel in the image and hence getting an array of frequency count of each pixels
- Then making cdf from the frequency count list
- Normalizing the cdf
- Converting the cdf shape into the shape of given image
- Finally converted the image into contrast adjusted image
