logTransformation.py

# import Pillow modules

import math
from PIL import Image
from PIL import ImageFilter
#import matplotlib.pyplot as plt


# Compute log

def logTransform(c, f):
    g = c * math.log(float(1 + f), 10)

    return g


# Apply logarithmic transformation for an image

def logTransformImage(image, outputMax=255, inputMax=255):
    c = outputMax / math.log(inputMax + 1, 10)

    # Read pixels and apply logarithmic transformation

    for i in range(0, img.size[0] - 1):

        for j in range(0, img.size[1] - 1):
            # Get pixel value at (x,y) position of the image

            f = img.getpixel((i, j))

            # Do log transformation of the pixel

            redPixel = round(logTransform(c, f[0]))

            greenPixel = round(logTransform(c, f[1]))

            bluePixel = round(logTransform(c, f[2]))

            # Modify the image with the transformed pixel values

            img.putpixel((i, j), (redPixel, greenPixel, bluePixel))

    return image

# Display the original image

imageFileName = "forest.jpg"


img = Image.open(imageFileName)
img.show()

# Display the image after applying the logarithmic transformation

logTransformedImage = logTransformImage(img)

logTransformedImage.show()