diff --git a/modules/core/include/opencv2/core/hal/intrin_cpp.hpp b/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
index 757c67b314..97756af5fa 100644
--- a/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
+++ b/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
@@ -603,27 +603,20 @@ static const unsigned char popCountTable[] =
     3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7,
     4, 5, 5, 6, 5, 6, 6, 7, 5, 6, 6, 7, 6, 7, 7, 8,
 };
-/** @brief Count the 1 bits in the vector and return 4 values
+/** @brief Count the 1 bits in the vector lanes and return result as corresponding unsigned type
 
 Scheme:
 @code
-{A1 A2 A3 ...} => popcount(A1)
+{A1 A2 A3 ...} => {popcount(A1), popcount(A2), popcount(A3), ...}
 @endcode
-Any types but result will be in v_uint32x4*/
-template<typename _Tp, int n> inline v_uint32x4 v_popcount(const v_reg<_Tp, n>& a)
+For all integer types. */
+template<typename _Tp, int n>
+inline v_reg<typename V_TypeTraits<_Tp>::abs_type, n> v_popcount(const v_reg<_Tp, n>& a)
 {
-    v_uint8x16 b;
-    b = v_reinterpret_as_u8(a);
-    for( int i = 0; i < v_uint8x16::nlanes; i++ )
-    {
-        b.s[i] = popCountTable[b.s[i]];
-    }
-    v_uint32x4 c;
-    for( int i = 0; i < v_uint32x4::nlanes; i++ )
-    {
-        c.s[i] = b.s[i*4] + b.s[i*4+1] + b.s[i*4+2] + b.s[i*4+3];
-    }
-    return c;
+    v_reg<typename V_TypeTraits<_Tp>::abs_type, n> b = v_reg<typename V_TypeTraits<_Tp>::abs_type, n>::zero();
+    for( int i = 0; i < n*sizeof(_Tp); i++ )
+        b.s[i/sizeof(_Tp)] += popCountTable[v_reinterpret_as_u8(a).s[i]];
+    return b;
 }
 
 
diff --git a/modules/core/src/stat.simd.hpp b/modules/core/src/stat.simd.hpp
index 1df25d2813..0da3f79380 100644
--- a/modules/core/src/stat.simd.hpp
+++ b/modules/core/src/stat.simd.hpp
@@ -75,7 +75,7 @@ int normHamming(const uchar* a, int n)
         v_uint64 t = vx_setzero_u64();
         for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
             t += v_popcount(v_reinterpret_as_u64(vx_load(a + i)));
-        result += v_reduce_sum(t);
+        result += (int)v_reduce_sum(t);
     }
 #endif // CV_SIMD
 #if CV_ENABLE_UNROLLED
@@ -144,7 +144,7 @@ int normHamming(const uchar* a, const uchar* b, int n)
         v_uint64 t = vx_setzero_u64();
         for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
             t += v_popcount(v_reinterpret_as_u64(vx_load(a + i) ^ vx_load(b + i)));
-        result += v_reduce_sum(t);
+        result += (int)v_reduce_sum(t);
     }
 #endif // CV_SIMD
 #if CV_ENABLE_UNROLLED
diff --git a/modules/core/test/test_intrin_utils.hpp b/modules/core/test/test_intrin_utils.hpp
index 3b85d68dea..6ead0ecc60 100644
--- a/modules/core/test/test_intrin_utils.hpp
+++ b/modules/core/test/test_intrin_utils.hpp
@@ -686,18 +686,24 @@ template<typename R> struct TheTest
 
     TheTest & test_popcount()
     {
+        typedef typename V_RegTraits<R>::u_reg Ru;
         static unsigned popcountTable[] = {
-            0, 1, 2, 4, 5, 7, 9, 12, 13, 15, 17, 20, 22, 25, 28, 32, 33,
-            35, 37, 40, 42, 45, 48, 52, 54, 57, 60, 64, 67, 71, 75, 80, 81,
-            83, 85, 88, 90, 93, 96, 100, 102, 105, 108, 112, 115, 119, 123,
-            128, 130, 133, 136, 140, 143, 147, 151, 156, 159, 163, 167, 172,
-            176, 181, 186, 192, 193
+            0, 1, 1, 2, 1, 2, 2, 3, 1, 2, 2, 3, 2, 3, 3, 4, //0x00-0x0f
+            1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, //0x10-0x1f
+            1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, //0x20-0x2f
+            2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, //0x30-0x3f
+            1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, //0x40-0x4f
+            2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, //0x50-0x5f
+            2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, //0x60-0x6f
+            3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7, //0x70-0x7f
+            1                                               //0x80
         };
         Data<R> dataA;
         R a = dataA;
 
-        unsigned resB = (unsigned)v_reduce_sum(v_popcount(a));
-        EXPECT_EQ(popcountTable[R::nlanes], resB);
+        Data<Ru> resB = v_popcount(a);
+        for (int i = 0; i < Ru::nlanes; ++i)
+            EXPECT_EQ(popcountTable[i + 1], resB[i]);
 
         return *this;
     }