Initial commit with project files

3_Signalorientierte_Bildverarbeitung/ü3/l_a.py

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+import cv2
+import numpy as np
+
+img = cv2.imread("../../data/lena.png", cv2.IMREAD_GRAYSCALE)
+
+''' Rauschen hinzufügen '''
+h, w = img.shape
+saltpepper_noise = np.zeros((h, w), dtype=np.uint8)
+saltpepper_noise = cv2.randu(saltpepper_noise, 0, 255)
+black = saltpepper_noise < 15
+white = saltpepper_noise > 240
+img_noise = np.copy(img)
+img_noise[white] = 255
+img_noise[black] = 0
+
+''' FFT '''
+visual_factor = 100000
+IMG = np.fft.fftshift(np.fft.fft2(img))
+IMG_magnitude = np.abs(IMG)
+cv2.imshow("IMG_magnitude", IMG_magnitude / visual_factor)
+
+IMG_NOISE = np.fft.fftshift(np.fft.fft2(img_noise))
+IMG_NOISE_magnitude = np.abs(IMG_NOISE)
+cv2.imshow("IMG_NOISE_magnitude", IMG_NOISE_magnitude / visual_factor)
+
+''' Bild anzeigen '''
+cv2.imshow("img", img)
+cv2.imshow("img_noise", img_noise)
+cv2. waitKey()