diff --git a/source/dcv/imgproc/filter.d b/source/dcv/imgproc/filter.d
index 4263087..ae6a047 100644
--- a/source/dcv/imgproc/filter.d
+++ b/source/dcv/imgproc/filter.d
@@ -29,7 +29,7 @@ $(DL Module contains:
             $(LINK2 #bilateralFilter,bilateralFilter)
             $(LINK2 #medianFilter,medianFilter)
             $(LINK2 #calcHistogram,calcHistogram)
-            $(LINK2 #histEqual,histEqual)
+            $(LINK2 #histEqualize,histEqualize)
             $(LINK2 #erode,erode)
             $(LINK2 #dilate,dilate)
             $(LINK2 #open,open)
@@ -908,7 +908,7 @@ void main()
     Image image = imread("dcv/examples/data/lena.png");
 
     auto slice = image.sliced.rgb2gray;
-    auto equalized = slice.histEqual(slice.byElement.calcHistogram);
+    auto equalized = slice.histEqualize(slice.byElement.calcHistogram);
 
     slice.imshow("Original");
     equalized.imshow("Equalized");
@@ -937,7 +937,7 @@ Params:
 Returns:
     Copy of input image slice with its histogram values equalized.
 */
-Slice!(N, T*) histEqual(T, HistogramType, size_t N)(Slice!(N, T*) slice, HistogramType histogram,
+Slice!(N, T*) histEqualize(T, HistogramType, size_t N)(Slice!(N, T*) slice, HistogramType histogram,
         Slice!(N, T*) prealloc = emptySlice!(N, T))
 in
 {
@@ -985,6 +985,8 @@ body
     return prealloc;
 }
 
+deprecated("Use dcv.imgproc.filter.histEqualize") alias histEqual = histEqualize;
+
 /**
 Perform morphological $(LINK3 https://en.wikipedia.org/wiki/Erosion_(morphology),erosion).
 
diff --git a/tests/performance-tests/source/performance/measure.d b/tests/performance-tests/source/performance/measure.d
index 526c100..994fc00 100644
--- a/tests/performance-tests/source/performance/measure.d
+++ b/tests/performance-tests/source/performance/measure.d
@@ -328,14 +328,14 @@ auto run_dcv_imgproc_filter_bilateralFilter_3()
 {
     auto image = slice!float(imsize, imsize);
     auto result = slice!float(imsize, imsize);
-    return evalBenchmark(&bilateralFilter!(neumann, typeof(image), float, 2), image, 0.84, 3, result, taskPool);
+    return evalBenchmark(&bilateralFilter!(neumann, typeof(image), float, 2), image, 0.84, 0.84, 3, result, taskPool);
 }
 
 auto run_dcv_imgproc_filter_bilateralFilter_5()
 {
     auto image = slice!float(imsize, imsize);
     auto result = slice!float(imsize, imsize);
-    return evalBenchmark(&bilateralFilter!(neumann, typeof(image), float, 2), image, 0.84, 5, result, taskPool);
+    return evalBenchmark(&bilateralFilter!(neumann, typeof(image), float, 2), image, 0.84, 0.84, 5, result, taskPool);
 }
 
 auto run_dcv_imgproc_filter_medianFilter_3()
@@ -352,12 +352,12 @@ auto run_dcv_imgproc_filter_medianFilter_5()
     return evalBenchmark(&medianFilter!(neumann, float, float, 2), image, 5, result, taskPool);
 }
 
-auto run_dcv_imgproc_filter_histEqual()
+auto run_dcv_imgproc_filter_histEqualize()
 {
     auto image = slice!ubyte(imsize, imsize);
     auto result = slice!ubyte(imsize, imsize);
     int[256] histogram;
-    return evalBenchmark(&histEqual!(ubyte, int[256], 2), image, histogram, result);
+    return evalBenchmark(&histEqualize!(ubyte, int[256], 2), image, histogram, result);
 }
 
 auto run_dcv_imgproc_filter_erode()