Merge pull request #2 from M7mdSh3banX/feature/implement-brightness-adjustment-algorithm

app implementation for brightness-adjustment-algorithm

Author: M7mdSh3banX

Codes/Lab3/brightness-adjustment-algorithm.py

@@ -0,0 +1,37 @@
+import numpy as np
+import cv2
+
+
+###############################################################################################
+# Create a function for brightness adjustment
+# First parameter: Input image that will be adjustment
+# Second parameter: Offset that specify you want brightness or darkness image
+def brightness_adjustment(image, offset):
+    [row, column, channel] = image.shape
+    new_image = np.zeros([row, column, channel], dtype=np.uint8)
+
+    for k in range(channel):
+        for i in range(row):
+            for j in range(column):
+                new_value = image[i, j, k] + offset
+                if new_value > 255:
+                    new_value = 255
+                if new_value < 0:
+                    new_value = 0
+                new_image[i, j, k] = new_value
+    return new_image
+
+
+###############################################################################################
+
+img = cv2.imread("/home/m7md43ban/Image Processing with Python/Codes/images/Squidward.jpeg")
+gray_img = brightness_adjustment(img, 50)
+
+cv2.imshow('Original Image', img)
+print(img.shape)
+
+cv2.imshow('Adjustment Image', gray_img)
+print(gray_img.shape)
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()