def arithmetic():
img = cv2.imread("./3_SaltAndPepperNoise.png", 0)
img_filter = [[1 for j in range(5)] for i in range(5)]
new_img = Filtering.filter2d(img, img_filter, "arithmetic")
cv2.imwrite("3_SaltAndPepperNoise_arithmetic.png", new_img)
def Min():
img = cv2.imread("./3_SaltAndPepperNoise.png", 0)
img_filter = [[1 for j in xrange(3)]for i in xrange(3)]
new_img = Filtering.filter2d(img, img_filter, "min")
cv2.imwrite("3_SaltAndPepperNoise_min.png", new_img)
def median():
img = cv2.imread("./3_SaltAndPepperNoise.png", 0)
img_filter = [[1 for j in range(5)] for i in range(5)]
new_img = Filtering.filter2d(img, img_filter, "median")
cv2.imwrite("3_SaltAndPepperNoise_median.png", new_img)
def geometric():
img = cv2.imread("./3_SaltAndPepperNoise.png", 0)
img_filter = [[1 for j in xrange(3)]for i in xrange(3)]
new_img = Filtering.filter2d(img, img_filter, "geometric")
cv2.imwrite("3_SaltAndPepperNoise_geometric.png", new_img)
def geometric():
img = cv2.imread("./1_GaussianNoise.png", 0)
img_filter = [[1 for j in xrange(5)]for i in xrange(5)]
new_img = Filtering.filter2d(img, img_filter, "geometric")
cv2.imwrite("1_GaussianNoise_geometric.png", new_img)
def median():
img = cv2.imread("./1_GaussianNoise.png", 0)
img_filter = [[1 for j in range(5)] for i in range(5)]
new_img = Filtering.filter2d(img, img_filter, "median")
cv2.imwrite("1_GaussianNoise_median.png", new_img)
def harmonic():
img = cv2.imread("./2_SaltNoise.png", 0)
img_filter = [[1 for j in xrange(3)]for i in xrange(3)]
new_img = Filtering.filter2d(img, img_filter, "harmonic")
cv2.imwrite("1_SaltNoise_harmonic.png", new_img)
def contraharmonic_Negative():
img = cv2.imread("./2_SaltNoise.png", 0)
img_filter = [[1 for j in xrange(3)]for i in xrange(3)]
new_img = Filtering.filter2d(img, img_filter, "contraharmonic", -1.5)
cv2.imwrite("1_SaltNoise_contraharmonic_negative.png", new_img)
