# count = 0
# for cut in cutout:
# print(cut)
# mask = isn.gaussianHighpassFilter(mask_size2, cut)
# a = util.applyMask(img_copy, mask)
# b = util.writableDFT(a)
# c = util.normalizeImage(b)
# d = util.post_process_image(c)
# count += 1
# print(count)
# util.displayImage(d)
nmask_size = (h2, w2)
img_copy = util.getImage(img3)
mask = isn.idealHighpassFilter(nmask_size, 100)
mask1 = isn.idealLowpassFilter(nmask_size, 100)
mask2 = isn.gaussianHighpassFilter(nmask_size, 100)
mask3 = isn.ringLowpassFilter(nmask_size, 100, 10)
mask4 = isn.butterworthHighpassFilter(nmask_size, 50, 2)
masks = (mask, mask1, mask2, mask3, mask4)
count = 0
for mask in masks:
a = util.applyMask(mask, img_copy)
count += 1
print(count)
util.displayImage(a)
def test_idealHighpassFilter_half_width(self):
expected = self.setup.getExpectedOutput(self._testMethodName)
self.actual = noise.idealHighpassFilter(self.emptymask, 100)
self.actual = self.setup.normalizeImage(self.actual)
self.assertTrue(self.setup.imagesEqual(expected, self.actual))