Enhancing 'project' done

enhance/enhance.py

@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+import cv2
+import matplotlib.pyplot as plt
+import numpy as np
+
+file_path = input('Enter Image file path: ')
+img = cv2.imread(file_path, cv2.IMREAD_GRAYSCALE)
+hist = cv2.calcHist([img], [0], None, [256], [0, 256])
+plt.plot(hist)
+plt.show()
+
+#Threshold
+img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)
+cv2.imshow('image', img)
+cv2.waitKey(0)
+#norm
+img = cv2.normalize(img, None, alpha=0.1, beta=1.2, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)
+cv2.imshow('image', img)
+cv2.waitKey(0)
+#Sharpening
+kernel = np.array([
+    [0, -1, 0,],
+    [-1, 5, -1],
+    [0, -1, 0]
+])
+img = cv2.filter2D(img, -1, kernel)
+cv2.imshow('image', img)
+cv2.waitKey(0)
+cv2.imwrite(file_path + '-enhanced.jpg', 255*img)
+#sharp_file = 'sharp' + '-' + file_path + '.jpg'
+#cv2.imwrite(sharp_file, img)
+#cv2.imread(sharp_file, cv2.IMREAD_GRAYSCALE)
+