diff --git a/modules/core/src/convert_scale.simd.hpp b/modules/core/src/convert_scale.simd.hpp
new file mode 100644
index 0000000000..b17bed8f58
--- /dev/null
+++ b/modules/core/src/convert_scale.simd.hpp
@@ -0,0 +1,586 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html
+
+
+#include "precomp.hpp"
+#include "opencl_kernels_core.hpp"
+#include "convert.hpp"
+
+/****************************************************************************************\
+*                                convertScale[Abs]                                       *
+\****************************************************************************************/
+
+namespace cv
+{
+
+template<typename _Ts, typename _Td> inline void
+cvtabs_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
+            Size size, float a, float b )
+{
+#if CV_SIMD
+    v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
+    const int VECSZ = v_float32::nlanes*2;
+#endif
+    sstep /= sizeof(src[0]);
+    dstep /= sizeof(dst[0]);
+
+    for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
+    {
+        int j = 0;
+#if CV_SIMD
+        for( ; j < size.width; j += VECSZ )
+        {
+            if( j > size.width - VECSZ )
+            {
+                if( j == 0 || src == (_Ts*)dst )
+                    break;
+                j = size.width - VECSZ;
+            }
+            v_float32 v0, v1;
+            vx_load_pair_as(src + j, v0, v1);
+            v0 = v_fma(v0, va, vb);
+            v1 = v_fma(v1, va, vb);
+            v_store_pair_as(dst + j, v_abs(v0), v_abs(v1));
+        }
+#endif
+        for( ; j < size.width; j++ )
+            dst[j] = saturate_cast<_Td>(std::abs(src[j]*a + b));
+    }
+}
+
+// variant for convrsions 16f <-> ... w/o unrolling
+template<typename _Ts, typename _Td> inline void
+cvtabs1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
+             Size size, float a, float b )
+{
+#if CV_SIMD
+    v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
+    const int VECSZ = v_float32::nlanes*2;
+#endif
+    sstep /= sizeof(src[0]);
+    dstep /= sizeof(dst[0]);
+
+    for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
+    {
+        int j = 0;
+#if CV_SIMD
+        for( ; j < size.width; j += VECSZ )
+        {
+            if( j > size.width - VECSZ )
+            {
+                if( j == 0 || src == (_Ts*)dst )
+                    break;
+                j = size.width - VECSZ;
+            }
+            v_float32 v0;
+            vx_load_as(src + j, v0);
+            v0 = v_fma(v0, va, vb);
+            v_store_as(dst + j, v_abs(v0));
+        }
+#endif
+        for( ; j < size.width; j++ )
+            dst[j] = saturate_cast<_Td>(src[j]*a + b);
+    }
+}
+
+template<typename _Ts, typename _Td> inline void
+cvt_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
+         Size size, float a, float b )
+{
+#if CV_SIMD
+    v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
+    const int VECSZ = v_float32::nlanes*2;
+#endif
+    sstep /= sizeof(src[0]);
+    dstep /= sizeof(dst[0]);
+
+    for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
+    {
+        int j = 0;
+#if CV_SIMD
+        for( ; j < size.width; j += VECSZ )
+        {
+            if( j > size.width - VECSZ )
+            {
+                if( j == 0 || src == (_Ts*)dst )
+                    break;
+                j = size.width - VECSZ;
+            }
+            v_float32 v0, v1;
+            vx_load_pair_as(src + j, v0, v1);
+            v0 = v_fma(v0, va, vb);
+            v1 = v_fma(v1, va, vb);
+            v_store_pair_as(dst + j, v0, v1);
+        }
+#endif
+        for( ; j < size.width; j++ )
+            dst[j] = saturate_cast<_Td>(src[j]*a + b);
+    }
+}
+
+// variant for convrsions 16f <-> ... w/o unrolling
+template<typename _Ts, typename _Td> inline void
+cvt1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
+          Size size, float a, float b )
+{
+#if CV_SIMD
+    v_float32 va = vx_setall_f32(a), vb = vx_setall_f32(b);
+    const int VECSZ = v_float32::nlanes;
+#endif
+    sstep /= sizeof(src[0]);
+    dstep /= sizeof(dst[0]);
+
+    for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
+    {
+        int j = 0;
+#if CV_SIMD
+        for( ; j < size.width; j += VECSZ )
+        {
+            if( j > size.width - VECSZ )
+            {
+                if( j == 0 || src == (_Ts*)dst )
+                    break;
+                j = size.width - VECSZ;
+            }
+            v_float32 v0;
+            vx_load_as(src + j, v0);
+            v0 = v_fma(v0, va, vb);
+            v_store_as(dst + j, v0);
+        }
+#endif
+        for( ; j < size.width; j++ )
+            dst[j] = saturate_cast<_Td>(src[j]*a + b);
+    }
+}
+
+
+template<typename _Ts, typename _Td> inline void
+cvt_64f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
+         Size size, double a, double b )
+{
+#if CV_SIMD_64F
+    v_float64 va = vx_setall_f64(a), vb = vx_setall_f64(b);
+    const int VECSZ = v_float64::nlanes*2;
+#endif
+    sstep /= sizeof(src[0]);
+    dstep /= sizeof(dst[0]);
+
+    for( int i = 0; i < size.height; i++, src += sstep, dst += dstep )
+    {
+        int j = 0;
+#if CV_SIMD_64F
+        for( ; j < size.width; j += VECSZ )
+        {
+            if( j > size.width - VECSZ )
+            {
+                if( j == 0 || src == (_Ts*)dst )
+                    break;
+                j = size.width - VECSZ;
+            }
+            v_float64 v0, v1;
+            vx_load_pair_as(src + j, v0, v1);
+            v0 = v_fma(v0, va, vb);
+            v1 = v_fma(v1, va, vb);
+            v_store_pair_as(dst + j, v0, v1);
+        }
+#endif
+        for( ; j < size.width; j++ )
+            dst[j] = saturate_cast<_Td>(src[j]*a + b);
+    }
+}
+
+//==================================================================================================
+
+#define DEF_CVT_SCALE_ABS_FUNC(suffix, cvt, stype, dtype, wtype) \
+static void cvtScaleAbs##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
+                                 dtype* dst, size_t dstep, Size size, double* scale) \
+{ \
+    cvt(src, sstep, dst, dstep, size, (wtype)scale[0], (wtype)scale[1]); \
+}
+
+
+#define DEF_CVT_SCALE_FUNC(suffix, cvt, stype, dtype, wtype) \
+static void cvtScale##suffix( const stype* src, size_t sstep, const uchar*, size_t, \
+                              dtype* dst, size_t dstep, Size size, double* scale) \
+{ \
+    cvt(src, sstep, dst, dstep, size, (wtype)scale[0], (wtype)scale[1]); \
+}
+
+DEF_CVT_SCALE_ABS_FUNC(8u,    cvtabs_32f, uchar,  uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(8s8u,  cvtabs_32f, schar,  uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(16u8u, cvtabs_32f, ushort, uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(16s8u, cvtabs_32f, short,  uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(32s8u, cvtabs_32f, int,    uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(32f8u, cvtabs_32f, float,  uchar, float)
+DEF_CVT_SCALE_ABS_FUNC(64f8u, cvtabs_32f, double, uchar, float)
+
+DEF_CVT_SCALE_FUNC(8u,     cvt_32f, uchar,  uchar, float)
+DEF_CVT_SCALE_FUNC(8s8u,   cvt_32f, schar,  uchar, float)
+DEF_CVT_SCALE_FUNC(16u8u,  cvt_32f, ushort, uchar, float)
+DEF_CVT_SCALE_FUNC(16s8u,  cvt_32f, short,  uchar, float)
+DEF_CVT_SCALE_FUNC(32s8u,  cvt_32f, int,    uchar, float)
+DEF_CVT_SCALE_FUNC(32f8u,  cvt_32f, float,  uchar, float)
+DEF_CVT_SCALE_FUNC(64f8u,  cvt_32f, double, uchar, float)
+//DEF_CVT_SCALE_FUNC(16f8u,  cvt_32f, float16_t, uchar, float)
+
+DEF_CVT_SCALE_FUNC(8u8s,   cvt_32f, uchar,  schar, float)
+DEF_CVT_SCALE_FUNC(8s,     cvt_32f, schar,  schar, float)
+DEF_CVT_SCALE_FUNC(16u8s,  cvt_32f, ushort, schar, float)
+DEF_CVT_SCALE_FUNC(16s8s,  cvt_32f, short,  schar, float)
+DEF_CVT_SCALE_FUNC(32s8s,  cvt_32f, int,    schar, float)
+DEF_CVT_SCALE_FUNC(32f8s,  cvt_32f, float,  schar, float)
+DEF_CVT_SCALE_FUNC(64f8s,  cvt_32f, double, schar, float)
+//DEF_CVT_SCALE_FUNC(16f8s,  cvt_32f, float16_t, schar, float)
+
+DEF_CVT_SCALE_FUNC(8u16u,  cvt_32f, uchar,  ushort, float)
+DEF_CVT_SCALE_FUNC(8s16u,  cvt_32f, schar,  ushort, float)
+DEF_CVT_SCALE_FUNC(16u,    cvt_32f, ushort, ushort, float)
+DEF_CVT_SCALE_FUNC(16s16u, cvt_32f, short,  ushort, float)
+DEF_CVT_SCALE_FUNC(32s16u, cvt_32f, int,    ushort, float)
+DEF_CVT_SCALE_FUNC(32f16u, cvt_32f, float,  ushort, float)
+DEF_CVT_SCALE_FUNC(64f16u, cvt_32f, double, ushort, float)
+//DEF_CVT_SCALE_FUNC(16f16u, cvt1_32f, float16_t, ushort, float)
+
+DEF_CVT_SCALE_FUNC(8u16s,  cvt_32f, uchar,  short, float)
+DEF_CVT_SCALE_FUNC(8s16s,  cvt_32f, schar,  short, float)
+DEF_CVT_SCALE_FUNC(16u16s, cvt_32f, ushort, short, float)
+DEF_CVT_SCALE_FUNC(16s,    cvt_32f, short,  short, float)
+DEF_CVT_SCALE_FUNC(32s16s, cvt_32f, int,    short, float)
+DEF_CVT_SCALE_FUNC(32f16s, cvt_32f, float,  short, float)
+DEF_CVT_SCALE_FUNC(64f16s, cvt_32f, double, short, float)
+//DEF_CVT_SCALE_FUNC(16f16s, cvt1_32f, float16_t, short, float)
+
+DEF_CVT_SCALE_FUNC(8u32s,  cvt_32f, uchar,  int, float)
+DEF_CVT_SCALE_FUNC(8s32s,  cvt_32f, schar,  int, float)
+DEF_CVT_SCALE_FUNC(16u32s, cvt_32f, ushort, int, float)
+DEF_CVT_SCALE_FUNC(16s32s, cvt_32f, short,  int, float)
+DEF_CVT_SCALE_FUNC(32s,    cvt_64f, int,    int, double)
+DEF_CVT_SCALE_FUNC(32f32s, cvt_32f, float,  int, float)
+DEF_CVT_SCALE_FUNC(64f32s, cvt_64f, double, int, double)
+//DEF_CVT_SCALE_FUNC(16f32s, cvt1_32f, float16_t, int, float)
+
+DEF_CVT_SCALE_FUNC(8u32f,  cvt_32f, uchar,  float, float)
+DEF_CVT_SCALE_FUNC(8s32f,  cvt_32f, schar,  float, float)
+DEF_CVT_SCALE_FUNC(16u32f, cvt_32f, ushort, float, float)
+DEF_CVT_SCALE_FUNC(16s32f, cvt_32f, short,  float, float)
+DEF_CVT_SCALE_FUNC(32s32f, cvt_32f, int,    float, float)
+DEF_CVT_SCALE_FUNC(32f,    cvt_32f, float,  float, float)
+DEF_CVT_SCALE_FUNC(64f32f, cvt_64f, double, float, double)
+//DEF_CVT_SCALE_FUNC(16f32f, cvt1_32f, float16_t, float, float)
+
+DEF_CVT_SCALE_FUNC(8u64f,  cvt_64f, uchar,  double, double)
+DEF_CVT_SCALE_FUNC(8s64f,  cvt_64f, schar,  double, double)
+DEF_CVT_SCALE_FUNC(16u64f, cvt_64f, ushort, double, double)
+DEF_CVT_SCALE_FUNC(16s64f, cvt_64f, short,  double, double)
+DEF_CVT_SCALE_FUNC(32s64f, cvt_64f, int,    double, double)
+DEF_CVT_SCALE_FUNC(32f64f, cvt_64f, float,  double, double)
+DEF_CVT_SCALE_FUNC(64f,    cvt_64f, double, double, double)
+//DEF_CVT_SCALE_FUNC(16f64f, cvt_64f, float16_t, double, double)
+
+/*DEF_CVT_SCALE_FUNC(8u16f,  cvt1_32f, uchar,  float16_t, float)
+DEF_CVT_SCALE_FUNC(8s16f,  cvt1_32f, schar,  float16_t, float)
+DEF_CVT_SCALE_FUNC(16u16f, cvt1_32f, ushort, float16_t, float)
+DEF_CVT_SCALE_FUNC(16s16f, cvt1_32f, short,  float16_t, float)
+DEF_CVT_SCALE_FUNC(32s16f, cvt1_32f, int,    float16_t, float)
+DEF_CVT_SCALE_FUNC(32f16f, cvt1_32f, float,  float16_t, float)
+DEF_CVT_SCALE_FUNC(64f16f, cvt_64f,  double, float16_t, double)
+DEF_CVT_SCALE_FUNC(16f,    cvt1_32f, float16_t, float16_t, float)*/
+
+static BinaryFunc getCvtScaleAbsFunc(int depth)
+{
+    static BinaryFunc cvtScaleAbsTab[] =
+    {
+        (BinaryFunc)cvtScaleAbs8u, (BinaryFunc)cvtScaleAbs8s8u, (BinaryFunc)cvtScaleAbs16u8u,
+        (BinaryFunc)cvtScaleAbs16s8u, (BinaryFunc)cvtScaleAbs32s8u, (BinaryFunc)cvtScaleAbs32f8u,
+        (BinaryFunc)cvtScaleAbs64f8u, 0
+    };
+
+    return cvtScaleAbsTab[depth];
+}
+
+BinaryFunc getConvertScaleFunc(int sdepth, int ddepth)
+{
+    static BinaryFunc cvtScaleTab[][8] =
+    {
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u), (BinaryFunc)GET_OPTIMIZED(cvtScale8s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale16u8u),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale32s8u), (BinaryFunc)GET_OPTIMIZED(cvtScale32f8u),
+            (BinaryFunc)cvtScale64f8u, 0 //(BinaryFunc)cvtScale16f8u
+        },
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u8s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u8s),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s8s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s8s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f8s),
+            (BinaryFunc)cvtScale64f8s, 0 //(BinaryFunc)cvtScale16f8s
+        },
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u16u), (BinaryFunc)GET_OPTIMIZED(cvtScale8s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale16u),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale32s16u), (BinaryFunc)GET_OPTIMIZED(cvtScale32f16u),
+            (BinaryFunc)cvtScale64f16u, 0 //(BinaryFunc)cvtScale16f16u
+        },
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u16s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s16s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u16s),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s16s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f16s),
+            (BinaryFunc)cvtScale64f16s, 0 //(BinaryFunc)cvtScale16f16s
+        },
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u32s), (BinaryFunc)GET_OPTIMIZED(cvtScale8s32s), (BinaryFunc)GET_OPTIMIZED(cvtScale16u32s),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s32s), (BinaryFunc)GET_OPTIMIZED(cvtScale32s), (BinaryFunc)GET_OPTIMIZED(cvtScale32f32s),
+            (BinaryFunc)cvtScale64f32s, 0 //(BinaryFunc)cvtScale16f32s
+        },
+        {
+            (BinaryFunc)GET_OPTIMIZED(cvtScale8u32f), (BinaryFunc)GET_OPTIMIZED(cvtScale8s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale16u32f),
+            (BinaryFunc)GET_OPTIMIZED(cvtScale16s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale32s32f), (BinaryFunc)GET_OPTIMIZED(cvtScale32f),
+            (BinaryFunc)cvtScale64f32f, 0 //(BinaryFunc)cvtScale16f32f
+        },
+        {
+            (BinaryFunc)cvtScale8u64f, (BinaryFunc)cvtScale8s64f, (BinaryFunc)cvtScale16u64f,
+            (BinaryFunc)cvtScale16s64f, (BinaryFunc)cvtScale32s64f, (BinaryFunc)cvtScale32f64f,
+            (BinaryFunc)cvtScale64f, 0 //(BinaryFunc)cvtScale16f64f
+        },
+        {
+            0, 0, 0, 0, 0, 0, 0, 0
+            /*(BinaryFunc)cvtScale8u16f, (BinaryFunc)cvtScale8s16f, (BinaryFunc)cvtScale16u16f,
+            (BinaryFunc)cvtScale16s16f, (BinaryFunc)cvtScale32s16f, (BinaryFunc)cvtScale32f16f,
+            (BinaryFunc)cvtScale64f16f, (BinaryFunc)cvtScale16f*/
+        },
+    };
+
+    return cvtScaleTab[CV_MAT_DEPTH(ddepth)][CV_MAT_DEPTH(sdepth)];
+}
+
+#ifdef HAVE_OPENCL
+
+static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta )
+{
+    const ocl::Device & d = ocl::Device::getDefault();
+
+    int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
+    bool doubleSupport = d.doubleFPConfig() > 0;
+    if (!doubleSupport && depth == CV_64F)
+        return false;
+
+    _dst.create(_src.size(), CV_8UC(cn));
+    int kercn = 1;
+    if (d.isIntel())
+    {
+        static const int vectorWidths[] = {4, 4, 4, 4, 4, 4, 4, -1};
+        kercn = ocl::checkOptimalVectorWidth( vectorWidths, _src, _dst,
+                                              noArray(), noArray(), noArray(),
+                                              noArray(), noArray(), noArray(),
+                                              noArray(), ocl::OCL_VECTOR_MAX);
+    }
+    else
+        kercn = ocl::predictOptimalVectorWidthMax(_src, _dst);
+
+    int rowsPerWI = d.isIntel() ? 4 : 1;
+    char cvt[2][50];
+    int wdepth = std::max(depth, CV_32F);
+    String build_opt = format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D DEPTH_dst=%d -D srcT1=%s"
+                         " -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s"
+                         " -D workT1=%s -D rowsPerWI=%d%s",
+                         ocl::typeToStr(CV_8UC(kercn)), CV_8U,
+                         ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)),
+                         ocl::typeToStr(CV_MAKE_TYPE(wdepth, kercn)), wdepth,
+                         ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]),
+                         ocl::convertTypeStr(wdepth, CV_8U, kercn, cvt[1]),
+                         ocl::typeToStr(wdepth), rowsPerWI,
+                         doubleSupport ? " -D DOUBLE_SUPPORT" : "");
+    ocl::Kernel k("KF", ocl::core::arithm_oclsrc, build_opt);
+    if (k.empty())
+        return false;
+
+    UMat src = _src.getUMat();
+    UMat dst = _dst.getUMat();
+
+    ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
+            dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn);
+
+    if (wdepth == CV_32F)
+        k.args(srcarg, dstarg, (float)alpha, (float)beta);
+    else if (wdepth == CV_64F)
+        k.args(srcarg, dstarg, alpha, beta);
+
+    size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
+    return k.run(2, globalsize, NULL, false);
+}
+
+#endif
+
+} //cv::
+
+
+void cv::convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta )
+{
+    CV_INSTRUMENT_REGION();
+
+    CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
+               ocl_convertScaleAbs(_src, _dst, alpha, beta))
+
+    Mat src = _src.getMat();
+    int cn = src.channels();
+    double scale[] = {alpha, beta};
+    _dst.create( src.dims, src.size, CV_8UC(cn) );
+    Mat dst = _dst.getMat();
+    BinaryFunc func = getCvtScaleAbsFunc(src.depth());
+    CV_Assert( func != 0 );
+
+    if( src.dims <= 2 )
+    {
+        Size sz = getContinuousSize2D(src, dst, cn);
+        func( src.ptr(), src.step, 0, 0, dst.ptr(), dst.step, sz, scale );
+    }
+    else
+    {
+        const Mat* arrays[] = {&src, &dst, 0};
+        uchar* ptrs[2] = {};
+        NAryMatIterator it(arrays, ptrs);
+        Size sz((int)it.size*cn, 1);
+
+        for( size_t i = 0; i < it.nplanes; i++, ++it )
+            func( ptrs[0], 0, 0, 0, ptrs[1], 0, sz, scale );
+    }
+}
+
+//==================================================================================================
+
+namespace cv {
+
+#ifdef HAVE_OPENCL
+
+static bool ocl_normalize( InputArray _src, InputOutputArray _dst, InputArray _mask, int dtype,
+                           double scale, double delta )
+{
+    UMat src = _src.getUMat();
+
+    if( _mask.empty() )
+        src.convertTo( _dst, dtype, scale, delta );
+    else if (src.channels() <= 4)
+    {
+        const ocl::Device & dev = ocl::Device::getDefault();
+
+        int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype),
+                ddepth = CV_MAT_DEPTH(dtype), wdepth = std::max(CV_32F, std::max(sdepth, ddepth)),
+                rowsPerWI = dev.isIntel() ? 4 : 1;
+
+        float fscale = static_cast<float>(scale), fdelta = static_cast<float>(delta);
+        bool haveScale = std::fabs(scale - 1) > DBL_EPSILON,
+                haveZeroScale = !(std::fabs(scale) > DBL_EPSILON),
+                haveDelta = std::fabs(delta) > DBL_EPSILON,
+                doubleSupport = dev.doubleFPConfig() > 0;
+
+        if (!haveScale && !haveDelta && stype == dtype)
+        {
+            _src.copyTo(_dst, _mask);
+            return true;
+        }
+        if (haveZeroScale)
+        {
+            _dst.setTo(Scalar(delta), _mask);
+            return true;
+        }
+
+        if ((sdepth == CV_64F || ddepth == CV_64F) && !doubleSupport)
+            return false;
+
+        char cvt[2][40];
+        String opts = format("-D srcT=%s -D dstT=%s -D convertToWT=%s -D cn=%d -D rowsPerWI=%d"
+                             " -D convertToDT=%s -D workT=%s%s%s%s -D srcT1=%s -D dstT1=%s",
+                             ocl::typeToStr(stype), ocl::typeToStr(dtype),
+                             ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn,
+                             rowsPerWI, ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]),
+                             ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)),
+                             doubleSupport ? " -D DOUBLE_SUPPORT" : "",
+                             haveScale ? " -D HAVE_SCALE" : "",
+                             haveDelta ? " -D HAVE_DELTA" : "",
+                             ocl::typeToStr(sdepth), ocl::typeToStr(ddepth));
+
+        ocl::Kernel k("normalizek", ocl::core::normalize_oclsrc, opts);
+        if (k.empty())
+            return false;
+
+        UMat mask = _mask.getUMat(), dst = _dst.getUMat();
+
+        ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
+                maskarg = ocl::KernelArg::ReadOnlyNoSize(mask),
+                dstarg = ocl::KernelArg::ReadWrite(dst);
+
+        if (haveScale)
+        {
+            if (haveDelta)
+                k.args(srcarg, maskarg, dstarg, fscale, fdelta);
+            else
+                k.args(srcarg, maskarg, dstarg, fscale);
+        }
+        else
+        {
+            if (haveDelta)
+                k.args(srcarg, maskarg, dstarg, fdelta);
+            else
+                k.args(srcarg, maskarg, dstarg);
+        }
+
+        size_t globalsize[2] = { (size_t)src.cols, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
+        return k.run(2, globalsize, NULL, false);
+    }
+    else
+    {
+        UMat temp;
+        src.convertTo( temp, dtype, scale, delta );
+        temp.copyTo( _dst, _mask );
+    }
+
+    return true;
+}
+
+#endif
+
+} // cv::
+
+void cv::normalize( InputArray _src, InputOutputArray _dst, double a, double b,
+                    int norm_type, int rtype, InputArray _mask )
+{
+    CV_INSTRUMENT_REGION();
+
+    double scale = 1, shift = 0;
+    int type = _src.type(), depth = CV_MAT_DEPTH(type);
+
+    if( rtype < 0 )
+        rtype = _dst.fixedType() ? _dst.depth() : depth;
+
+    if( norm_type == CV_MINMAX )
+    {
+        double smin = 0, smax = 0;
+        double dmin = MIN( a, b ), dmax = MAX( a, b );
+        minMaxIdx( _src, &smin, &smax, 0, 0, _mask );
+        scale = (dmax - dmin)*(smax - smin > DBL_EPSILON ? 1./(smax - smin) : 0);
+        if( rtype == CV_32F )
+        {
+            scale = (float)scale;
+            shift = (float)dmin - (float)(smin*scale);
+        }
+        else
+            shift = dmin - smin*scale;
+    }
+    else if( norm_type == CV_L2 || norm_type == CV_L1 || norm_type == CV_C )
+    {
+        scale = norm( _src, norm_type, _mask );
+        scale = scale > DBL_EPSILON ? a/scale : 0.;
+        shift = 0;
+    }
+    else
+        CV_Error( CV_StsBadArg, "Unknown/unsupported norm type" );
+
+    CV_OCL_RUN(_dst.isUMat(),
+               ocl_normalize(_src, _dst, _mask, rtype, scale, shift))
+
+    Mat src = _src.getMat();
+    if( _mask.empty() )
+        src.convertTo( _dst, rtype, scale, shift );
+    else
+    {
+        Mat temp;
+        src.convertTo( temp, rtype, scale, shift );
+        temp.copyTo( _dst, _mask );
+    }
+}