diff --git a/mantidimaging/core/operations/remove_dead_stripe/remove_dead_stripe.py b/mantidimaging/core/operations/remove_dead_stripe/remove_dead_stripe.py
index 96bd40e6390..97a5339c922 100644
--- a/mantidimaging/core/operations/remove_dead_stripe/remove_dead_stripe.py
+++ b/mantidimaging/core/operations/remove_dead_stripe/remove_dead_stripe.py
@@ -35,8 +35,8 @@ class RemoveDeadStripesFilter(BaseFilter):
     link_histograms = True
     operate_on_sinograms = True
 
-    @classmethod
-    def filter_func(cls, images: ImageStack, snr=3, size=61, progress=None):
+    @staticmethod
+    def filter_func(images: ImageStack, snr=3, size=61, progress=None):
         """
         :param snr: The ratio value.
         :param size: The window size of the median filter to remove dead stripes.
@@ -47,9 +47,9 @@ def filter_func(cls, images: ImageStack, snr=3, size=61, progress=None):
             return images
         params = {"snr": snr, "size": size, "residual": False}
         if images.is_sinograms:
-            compute_func = cls.compute_function_sino
+            compute_func = RemoveDeadStripesFilter.compute_function_sino
         else:
-            compute_func = cls.compute_function
+            compute_func = RemoveDeadStripesFilter.compute_function
         ps.run_compute_func(compute_func, images.num_sinograms, images.shared_array, params, progress)
         return images
 
diff --git a/mantidimaging/core/operations/remove_large_stripe/remove_large_stripe.py b/mantidimaging/core/operations/remove_large_stripe/remove_large_stripe.py
index 1f035f95616..0fc53bda153 100644
--- a/mantidimaging/core/operations/remove_large_stripe/remove_large_stripe.py
+++ b/mantidimaging/core/operations/remove_large_stripe/remove_large_stripe.py
@@ -35,8 +35,8 @@ class RemoveLargeStripesFilter(BaseFilter):
     link_histograms = True
     operate_on_sinograms = True
 
-    @classmethod
-    def filter_func(cls, images: 'ImageStack', snr=3, la_size=61, progress=None):
+    @staticmethod
+    def filter_func(images: 'ImageStack', snr=3, la_size=61, progress=None):
         """
         :param snr: The ratio value.
         :param size: The window size of the median filter to remove large stripes.
@@ -45,9 +45,9 @@ def filter_func(cls, images: 'ImageStack', snr=3, la_size=61, progress=None):
         """
         params = {"snr": snr, "size": la_size}
         if images.is_sinograms:
-            compute_func = cls.compute_function_sino
+            compute_func = RemoveLargeStripesFilter.compute_function_sino
         else:
-            compute_func = cls.compute_function
+            compute_func = RemoveLargeStripesFilter.compute_function
         ps.run_compute_func(compute_func, images.num_sinograms, images.shared_array, params, progress)
         return images
 
diff --git a/mantidimaging/core/operations/remove_stripe_filtering/remove_stripe_filtering.py b/mantidimaging/core/operations/remove_stripe_filtering/remove_stripe_filtering.py
index 9cc8e469ae2..a888ad6f28f 100644
--- a/mantidimaging/core/operations/remove_stripe_filtering/remove_stripe_filtering.py
+++ b/mantidimaging/core/operations/remove_stripe_filtering/remove_stripe_filtering.py
@@ -35,8 +35,8 @@ class RemoveStripeFilteringFilter(BaseFilter):
     link_histograms = True
     operate_on_sinograms = True
 
-    @classmethod
-    def filter_func(cls, images: ImageStack, sigma=3, size=21, window_dim=1, filtering_dim=1, progress=None):
+    @staticmethod
+    def filter_func(images: ImageStack, sigma=3, size=21, window_dim=1, filtering_dim=1, progress=None):
         """
         :param sigma: The sigma of the Gaussian window used to separate the
                       low-pass and high-pass components of the intensity profile
@@ -55,15 +55,15 @@ def filter_func(cls, images: ImageStack, sigma=3, size=21, window_dim=1, filteri
         if images.is_sinograms:
             if filtering_dim == 1:
                 params["sort"] = True
-                compute_func = cls.compute_function_sino
+                compute_func = RemoveStripeFilteringFilter.compute_function_sino
             else:
-                compute_func = cls.compute_function_2d_sino
+                compute_func = RemoveStripeFilteringFilter.compute_function_2d_sino
         else:
             if filtering_dim == 1:
                 params["sort"] = True
-                compute_func = cls.compute_function
+                compute_func = RemoveStripeFilteringFilter.compute_function
             else:
-                compute_func = cls.compute_function_2d
+                compute_func = RemoveStripeFilteringFilter.compute_function_2d
 
         ps.run_compute_func(compute_func, images.num_sinograms, images.shared_array, params, progress)
         return images
diff --git a/mantidimaging/core/operations/remove_stripe_sorting_fitting/remove_stripe_sorting_fitting.py b/mantidimaging/core/operations/remove_stripe_sorting_fitting/remove_stripe_sorting_fitting.py
index ab56c55fc6b..9fd88c1d925 100644
--- a/mantidimaging/core/operations/remove_stripe_sorting_fitting/remove_stripe_sorting_fitting.py
+++ b/mantidimaging/core/operations/remove_stripe_sorting_fitting/remove_stripe_sorting_fitting.py
@@ -35,8 +35,8 @@ class RemoveStripeSortingFittingFilter(BaseFilter):
     link_histograms = True
     operate_on_sinograms = True
 
-    @classmethod
-    def filter_func(cls, images: ImageStack, order=1, sigma=3, progress=None):
+    @staticmethod
+    def filter_func(images: ImageStack, order=1, sigma=3, progress=None):
         """
         :param order: The polynomial fit order. Check algotom docs for more
                       information.
@@ -49,9 +49,9 @@ def filter_func(cls, images: ImageStack, order=1, sigma=3, progress=None):
             return images
         params = {'order': order, 'sigma': sigma, 'sort': True}
         if images.is_sinograms:
-            compute_func = cls.compute_function_sino
+            compute_func = RemoveStripeSortingFittingFilter.compute_function_sino
         else:
-            compute_func = cls.compute_function
+            compute_func = RemoveStripeSortingFittingFilter.compute_function
         ps.run_compute_func(compute_func, images.num_sinograms, images.shared_array, params, progress)
 
         return images