diff --git a/datasets/raise/fft/remove_period_patterns.py b/datasets/raise/fft/remove_period_patterns.py
index 50639f5..a98ecf1 100644
--- a/datasets/raise/fft/remove_period_patterns.py
+++ b/datasets/raise/fft/remove_period_patterns.py
@@ -23,6 +23,7 @@ multipleColorsImage = mergeSingleColorChannelImagesAccordingToBayerFilter(single
 image = multipleColorsImage
 
 fft1 = fftpack.fftshift(fftpack.fft2(image))
+
 originalFft1 = fft1.copy()
 
 def removePeriodicPatterns(fft1Part):
@@ -47,10 +48,12 @@ def removePeriodicPatterns(fft1Part):
     fixedImage = interpolate_replace_nans(fft1Part, kernel)
     return fixedImage
 
+'''
 realFixedImage = removePeriodicPatterns(np.real(fft1).copy())
 imaginaryFixedImage = removePeriodicPatterns(np.imag(fft1).copy())
 fixedImage = realFixedImage + 1j * imaginaryFixedImage
-#fixedImage = realFixedImage
+'''
+fixedImage = removePeriodicPatterns(abs(fft1))
 
 figure, axes = plt.subplots(1, 2, sharex = True, sharey = True)
 
@@ -58,9 +61,14 @@ plt.suptitle('Attenuating FFT significant lines')
 axes[0].set_title('Original FFT')
 #originalFft1Abs = abs(originalFft1)
 #minValue = np.min()
-axes[0].imshow(np.log10(abs(originalFft1)))
+firstImage = np.log10(abs(originalFft1))
+secondImage = np.log10(abs(fixedImage))
+images = [firstImage, secondImage]
+vMin = np.min(images)
+vMax = np.max(images)
+axes[0].imshow(firstImage, vmin = vMin, vmax = vMax)
 axes[1].set_title('FFT with significant lines attenuated')
-axes[1].imshow(np.log10(abs(fixedImage)))
+axes[1].imshow(secondImage, vmin = vMin, vmax = vMax)
 plt.tight_layout()
 plt.show()
 #plt.imsave('fft.png', np.log10(fixedImage))