diff --git a/Image-Processing/Cartoonify Image/Cartoonify.py b/Image-Processing/Cartoonify Image/Cartoonify.py
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+# Importing Libraries
+import cv2
+import numpy as np
+from skimage import io
+
+# Class Defination
+class Cartoon:
+    def __init__(self):
+        img = io.imread("images/sunset.jpg")
+        # 1) Edges Image
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        gray = cv2.medianBlur(gray, 5)
+        edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 9, 7)
+
+        # 2) Color Image
+        color = cv2.bilateralFilter(img, 10, 300, 300)
+        RGB_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+        # 3) Cartoon Image
+        cartoon = cv2.bitwise_and(color, color, mask=edges)
+        cartoon_img = cv2.cvtColor(cartoon, cv2.COLOR_BGR2RGB)
+
+        # Re-sizeing Image
+        resize = cv2.resize(RGB_img, (600, 450))
+        resize2 = cv2.resize(cartoon_img, (600, 450))
+        self.resize = resize
+        self.resize2 = resize2
+
+# Displaying Image
+# Creating an object of class Cartoon
+c1 = Cartoon()
+c1.resize
+c1.resize2
+cv2.imshow("Original_Image", c1.resize)
+cv2.imshow("Cartoonified_Image", c1.resize2)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
diff --git a/Image-Processing/Cartoonify Image/README.md b/Image-Processing/Cartoonify Image/README.md
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+<h1>Cartoonify Image</h1>
+
+The code converts your original image i.e. the image which you have given as input, to cartoonified image.<br>
+When you run Cartoonify.py, both the input image and output image will be displayed.<br>
+It can be further implemented for pencil-sketch, color-pencil-sketch, water-color image, sepia effect, oldifying, etc.
+
+<h2>Results:</h2>
+
+<h4>Original Image</h4>
+<p align="left">
+<img src="images/Original%20Image.PNG" width="600" height="500"/></p>
+
+<h4>Cartoonified Image</h4>
+<p align="left">
+<img src="images/Cartoonified%20Image.PNG" width="600" height="500"/></p>
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