diff --git a/modules/cudafilters/include/opencv2/cudafilters.hpp b/modules/cudafilters/include/opencv2/cudafilters.hpp
index fd28150f3..1519869f4 100644
--- a/modules/cudafilters/include/opencv2/cudafilters.hpp
+++ b/modules/cudafilters/include/opencv2/cudafilters.hpp
@@ -322,7 +322,11 @@ CV_EXPORTS_W Ptr<Filter> createColumnSumFilter(int srcType, int dstType, int ksi
 @param windowSize Size of the kernerl used for the filtering. Uses a (windowSize x windowSize) filter.
 @param partition Specifies the parallel granularity of the workload. This parameter should be used GPU experts when optimizing performance.
 
-Outputs an image that has been filtered using median-filtering formulation.
+Outputs an image that has been filtered using a median-filtering formulation.
+
+Details on this algorithm can be found in:
+Green, O., 2017. "Efficient scalable median filtering using histogram-based operations",
+                  IEEE Transactions on Image Processing, 27(5), pp.2217-2228.
  */
 CV_EXPORTS_W Ptr<Filter> createMedianFilter(int srcType, int windowSize, int partition = 128);
 
diff --git a/modules/cudafilters/src/cuda/median_filter.cu b/modules/cudafilters/src/cuda/median_filter.cu
index cbc53f4b4..f6be58d62 100644
--- a/modules/cudafilters/src/cuda/median_filter.cu
+++ b/modules/cudafilters/src/cuda/median_filter.cu
@@ -40,6 +40,11 @@
 //
 //M*/
 
+// Details on this algorithm can be found in:
+// Green, O., 2017. "Efficient scalable median filtering using histogram-based operations",
+//                   IEEE Transactions on Image Processing, 27(5), pp.2217-2228.
+
+
 #if !defined CUDA_DISABLER
 
 #include "opencv2/core/cuda/common.hpp"