diff --git a/Image-Processing/Image To Sepia Effect/README.md b/Image-Processing/Image To Sepia Effect/README.md
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+# Image to Sepia image
+The original image is converted into Sepia filtered image.
+
+### Results:
+
+#### Original Image
+<img src ="https://github.com/sharur7/Awesome-Python-Scripts/blob/ssr/Image-Processing/Image%20To%20Sepia%20Effect/original.jpg?raw=true" alt="Original_image" width="400" height="330">
+
+#### Sepia Image
+<img src ="https://github.com/sharur7/Awesome-Python-Scripts/blob/ssr/Image-Processing/Image%20To%20Sepia%20Effect/sepia.jpg?raw=true" alt="Sepia_image" width="400" height="330">
diff --git a/Image-Processing/Image To Sepia Effect/Taj_Mahal.jpg b/Image-Processing/Image To Sepia Effect/Taj_Mahal.jpg
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diff --git a/Image-Processing/Image To Sepia Effect/sepia image convertor.py b/Image-Processing/Image To Sepia Effect/sepia image convertor.py
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+# Importing libraries
+import cv2
+import numpy as np
+
+img = cv2.imread('taj_mahal.jpg')
+original = img.copy()
+# Converting into float
+img = np.array(img, dtype=np.float64)
+# Multipying image with special sepia matrix
+img = cv2.transform(img, np.matrix([[0.272, 0.534, 0.131],
+                                    [0.349, 0.686, 0.168],
+                                    [0.393, 0.769, 0.189]]))
+img[np.where(img > 255)] = 255
+# Converting into integer again
+img = np.array(img, dtype=np.uint8)
+cv2.imshow("original", original)
+cv2.imshow("sepia", img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
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