Multiplikation mit der Transformationsmatrix T
Implementiert über 2 for-Schleifen und der numpy.dot() Funktion
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@ -61,8 +61,12 @@ T_reversed = np.array([[5.47221206, -4.6419601, 0.16963708],
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[-1.1252419, 2.29317094, -0.1678952],
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[-1.1252419, 2.29317094, -0.1678952],
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[0.02980165, -0.19318073, 1.16364789]])
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[0.02980165, -0.19318073, 1.16364789]])
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# Multiplikation der einzelnen Pixelwerte
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#Multiplikation der einzelnen Pixelwerte
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# T.dot(image[x][y])
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for i in range(rows):
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for j in range(cols):
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cb_image[i,j] = T.dot(cb_image[i,j])
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#Simulationsmatrizen
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cv2.namedWindow("Display") # Displaywindow erstellen
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cv2.namedWindow("Display") # Displaywindow erstellen
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