diff --git a/modules/gpu/src/cuda/cuda_shared.hpp b/modules/gpu/src/cuda/cuda_shared.hpp
index d0fba59641..469314d170 100644
--- a/modules/gpu/src/cuda/cuda_shared.hpp
+++ b/modules/gpu/src/cuda/cuda_shared.hpp
@@ -51,6 +51,7 @@ namespace cv
     namespace gpu
     {
         typedef unsigned char uchar;
+        typedef signed char schar;
         typedef unsigned short ushort;
         typedef unsigned int uint;
 
@@ -62,6 +63,8 @@ namespace cv
 
             extern "C" void set_to_without_mask (const DevMem2D& mat, const double * scalar, int depth, int channels);
             extern "C" void set_to_with_mask    (const DevMem2D& mat, const double * scalar, const DevMem2D& mask, int depth, int channels);
+
+            extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, size_t width, size_t height, double alpha, double beta);
         }
     }
 }
diff --git a/modules/gpu/src/cuda/matrix_operations.cu b/modules/gpu/src/cuda/matrix_operations.cu
index ce5c6cd2f2..6f9d0c49ef 100644
--- a/modules/gpu/src/cuda/matrix_operations.cu
+++ b/modules/gpu/src/cuda/matrix_operations.cu
@@ -46,10 +46,17 @@
 #include "cuda_shared.hpp"
 #include "cuda_runtime.h"
 
+using namespace cv::gpu;
+using namespace cv::gpu::impl;
+
 __constant__ __align__(16) float scalar_d[4];
 
 namespace mat_operators
 {
+    //////////////////////////////////////////////////////////
+    // SetTo
+    //////////////////////////////////////////////////////////
+	
     template<typename T, int channels>
     __global__ void kernel_set_to_without_mask(T * mat, int cols, int rows, int step)
     {
@@ -76,7 +83,245 @@ namespace mat_operators
                 mat[idx] = scalar_d[ x % channels ];
             }
     }
-}
+
+	
+    //////////////////////////////////////////////////////////
+    // ConvertTo
+    //////////////////////////////////////////////////////////
+
+    template <typename T, typename DT, size_t src_elem_size, size_t dst_elem_size>
+    struct Converter
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (x < width && y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                DT* dst = (DT*)(dstmat + dst_step * y);
+
+                dst[x] = (DT)__double2int_rn(alpha * src[x] + beta);
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x), divUp(height, block.y));
+        }
+    };
+	
+    template <typename T, typename DT>
+    struct Converter<T, DT, 1, 1>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                DT* dst = (DT*)(dstmat + dst_step * y);
+                if ((x << 2) + 3 < width)
+                {
+                    uchar4 src4b = ((const uchar4*)src)[x];
+                    uchar4 dst4b;
+
+                    const T* src1b = (const T*) &src4b.x;
+                    DT* dst1b = (DT*) &dst4b.x;
+                    
+                    dst1b[0] = (DT)__double2int_rn(alpha * src1b[0] + beta);
+                    dst1b[1] = (DT)__double2int_rn(alpha * src1b[1] + beta);
+                    dst1b[2] = (DT)__double2int_rn(alpha * src1b[2] + beta);
+                    dst1b[3] = (DT)__double2int_rn(alpha * src1b[3] + beta);
+
+                    ((uchar4*)dst)[x] = dst4b;
+                }
+                else
+                {
+                    if ((x << 2) + 0 < width)
+                        dst[(x << 2) + 0] = (DT)__double2int_rn(alpha * src[(x << 2) + 0] + beta);
+
+                    if ((x << 2) + 1 < width)
+                        dst[(x << 2) + 1] = (DT)__double2int_rn(alpha * src[(x << 2) + 1] + beta);
+
+                    if ((x << 2) + 2 < width)
+                        dst[(x << 2) + 2] = (DT)__double2int_rn(alpha * src[(x << 2) + 2] + beta);
+                }
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x << 2), divUp(height, block.y));
+        }
+    };/**/
+	
+    template <typename T, typename DT>
+    struct Converter<T, DT, 1, 2>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                DT* dst = (DT*)(dstmat + dst_step * y);
+                if ((x << 1) + 1 < width)
+                {
+                    uchar2 src2b = ((const uchar2*)src)[x];
+                    ushort2 dst2s;
+
+                    const T* src1b = (const T*) &src2b;
+                    DT* dst1s = (DT*) &dst2s;
+                    dst1s[0] = (DT)__double2int_rn(alpha * src1b[0] + beta);
+                    dst1s[1] = (DT)__double2int_rn(alpha * src1b[1] + beta);
+
+                    ((ushort2*)(dst))[x] = dst2s;
+                }
+                else
+                {
+                    if ((x << 1) < width)
+                        dst[(x << 1)] = (DT)__double2int_rn(alpha * src[(x << 1)] + beta);
+                }
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x << 1), divUp(height, block.y));
+        }
+    };/**/
+	
+    template <typename T, typename DT>
+    struct Converter<T, DT, 2, 1>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                DT* dst = (DT*)(dstmat + dst_step * y);
+                if ((x << 2) + 3 < width)
+                {                    
+                    ushort4 src4s = ((const ushort4*)src)[x];
+                    uchar4 dst4b;
+
+                    const T* src1s = (const T*) &src4s.x;
+                    DT* dst1b = (DT*) &dst4b.x;
+                    dst1b[0] = (DT)__double2int_rn(alpha * src1s[0] + beta);
+                    dst1b[1] = (DT)__double2int_rn(alpha * src1s[1] + beta);
+                    dst1b[2] = (DT)__double2int_rn(alpha * src1s[2] + beta);
+                    dst1b[3] = (DT)__double2int_rn(alpha * src1s[3] + beta);
+
+                    ((uchar4*)(dst))[x] = dst4b;
+                }
+                else
+                {
+                    if ((x << 2) + 0 < width)
+                        dst[(x << 2) + 0] = (DT)__double2int_rn(alpha * src[(x << 2) + 0] + beta);
+                    if ((x << 2) + 1 < width)
+                        dst[(x << 2) + 1] = (DT)__double2int_rn(alpha * src[(x << 2) + 1] + beta);
+                    if ((x << 2) + 2 < width)
+                        dst[(x << 2) + 2] = (DT)__double2int_rn(alpha * src[(x << 2) + 2] + beta);
+                }
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x << 2), divUp(height, block.y));
+        }
+    };/**/
+	
+    template <typename T, typename DT>
+    struct Converter<T, DT, 2, 2>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                DT* dst = (DT*)(dstmat + dst_step * y);
+                if ((x << 1) + 1 < width)
+                {
+                    ushort2 src2s = ((const ushort2*)src)[x];
+                    ushort2 dst2s;
+
+                    const T* src1s = (const T*) &src2s.x;
+                    DT* dst1s = (DT*) &dst2s.x;
+                    dst1s[0] = (DT)__double2int_rn(alpha * src1s[0] + beta);
+                    dst1s[1] = (DT)__double2int_rn(alpha * src1s[1] + beta);
+
+                    ((ushort2*)dst)[x] = dst2s;
+                }
+                else
+                {
+                    if ((x << 1) < width)
+                        dst[(x << 1)] = (DT)__double2int_rn(alpha * src[(x << 1)] + beta);
+                }
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x << 1), divUp(height, block.y));
+        }
+    };/**/
+	
+    template <typename T, size_t src_elem_size, size_t dst_elem_size>
+    struct Converter<T, float, src_elem_size, dst_elem_size>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (x < width && y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                float* dst = (float*)(dstmat + dst_step * y);
+
+                dst[x] = (float)(alpha * src[x] + beta);
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x), divUp(height, block.y));
+        }
+    };
+	
+    template <typename T, size_t src_elem_size, size_t dst_elem_size>
+    struct Converter<T, double, src_elem_size, dst_elem_size>
+    {
+        __device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+        {
+            size_t x = threadIdx.x + blockIdx.x * blockDim.x;
+            size_t y = threadIdx.y + blockIdx.y * blockDim.y;
+            if (x < width && y < height)
+            {
+                const T* src = (const T*)(srcmat + src_step * y);
+                double* dst = (double*)(dstmat + dst_step * y);
+
+                dst[x] = (double)(alpha * src[x] + beta);
+            }
+        }
+        __host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
+        {
+            return dim3(divUp(width, block.x), divUp(height, block.y));
+        }
+    };   
+    
+    template <typename T, typename DT> 
+    __global__ static void kernel_convert_to(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
+    {
+        Converter<T, DT, sizeof(T), sizeof(DT)>::convert(srcmat, src_step, dstmat, dst_step, width, height, alpha, beta);
+    }
+	
+} // namespace mat_operators
+
+//////////////////////////////////////////////////////////////
+// SetTo
+//////////////////////////////////////////////////////////////
 
 extern "C" void cv::gpu::impl::set_to_without_mask(const DevMem2D& mat, const double * scalar, int elemSize1, int channels)
 {
@@ -158,3 +403,66 @@ extern "C" void cv::gpu::impl::set_to_with_mask(const DevMem2D& mat, const doubl
     cudaSafeCall ( cudaThreadSynchronize() );
 }
 
+//////////////////////////////////////////////////////////////
+// ConvertTo
+//////////////////////////////////////////////////////////////
+
+namespace cv 
+{ 
+	namespace gpu 
+	{
+		namespace impl 
+		{   
+
+			typedef void (*CvtFunc)(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta);
+
+			//#if !defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 130)
+
+			template<typename T, typename DT> 
+			void cvt_(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta)
+			{
+				dim3 block(32, 8);
+				dim3 grid = ::mat_operators::Converter<T, DT, sizeof(T), sizeof(DT)>::calcGrid(width, height, block);
+				::mat_operators::kernel_convert_to<T, DT><<<grid, block>>>(src.ptr, src.step, dst.ptr, dst.step, width, height, alpha, beta);
+				cudaSafeCall( cudaThreadSynchronize() );
+			}
+			//#endif
+
+			extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, size_t width, size_t height, double alpha, double beta)
+			{
+				static CvtFunc tab[8][8] =
+				{
+					{cvt_<uchar, uchar>, cvt_<uchar, schar>, cvt_<uchar, ushort>, cvt_<uchar, short>,
+					cvt_<uchar, int>, cvt_<uchar, float>, cvt_<uchar, double>, 0},
+
+					{cvt_<schar, uchar>, cvt_<schar, schar>, cvt_<schar, ushort>, cvt_<schar, short>,
+					cvt_<schar, int>, cvt_<schar, float>, cvt_<schar, double>, 0},
+
+					{cvt_<ushort, uchar>, cvt_<ushort, schar>, cvt_<ushort, ushort>, cvt_<ushort, short>,
+					cvt_<ushort, int>, cvt_<ushort, float>, cvt_<ushort, double>, 0},
+
+					{cvt_<short, uchar>, cvt_<short, schar>, cvt_<short, ushort>, cvt_<short, short>,
+					cvt_<short, int>, cvt_<short, float>, cvt_<short, double>, 0},
+
+					{cvt_<int, uchar>, cvt_<int, schar>, cvt_<int, ushort>,
+					cvt_<int, short>, cvt_<int, int>, cvt_<int, float>, cvt_<int, double>, 0},
+
+					{cvt_<float, uchar>, cvt_<float, schar>, cvt_<float, ushort>,
+					cvt_<float, short>, cvt_<float, int>, cvt_<float, float>, cvt_<float, double>, 0},
+
+					{cvt_<double, uchar>, cvt_<double, schar>, cvt_<double, ushort>,
+					cvt_<double, short>, cvt_<double, int>, cvt_<double, float>, cvt_<double, double>, 0},
+
+					{0,0,0,0,0,0,0,0}
+				};
+
+				CvtFunc func = tab[sdepth][ddepth];
+				if (func == 0)
+					error("Operation \'ConvertTo\' doesn't supported on your GPU model", __FILE__, __LINE__);
+				func(src, dst, width, height, alpha, beta);
+			}
+		}
+		
+		
+	} 
+}
diff --git a/modules/gpu/src/matrix_operations.cpp b/modules/gpu/src/matrix_operations.cpp
index fe78eda9c6..867efdacd3 100644
--- a/modules/gpu/src/matrix_operations.cpp
+++ b/modules/gpu/src/matrix_operations.cpp
@@ -104,9 +104,31 @@ void cv::gpu::GpuMat::copyTo( GpuMat& /*m*/, const GpuMat&/* mask */) const
     CV_Assert(!"Not implemented");
 }
 
-void cv::gpu::GpuMat::convertTo( GpuMat& /*m*/, int /*rtype*/, double /*alpha*/, double /*beta*/ ) const
+void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double beta ) const
 {
-    CV_Assert(!"Not implemented");
+    //CV_Assert(!"Not implemented");
+
+    bool noScale = fabs(alpha-1) < std::numeric_limits<double>::epsilon() && fabs(beta) < std::numeric_limits<double>::epsilon();
+
+    if( rtype < 0 )
+        rtype = type();
+    else
+        rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), channels());
+
+    int sdepth = depth(), ddepth = CV_MAT_DEPTH(rtype);
+    /*if( sdepth == ddepth && noScale )
+    {
+        copyTo(dst);
+        return;
+    }*/
+
+    GpuMat temp;
+    const GpuMat* psrc = this;
+    if( sdepth != ddepth && psrc == &dst )
+        psrc = &(temp = *this);
+        
+    dst.create( size(), rtype );
+    impl::convert_to(*psrc, sdepth, dst, ddepth, psrc->cols * psrc->channels(), psrc->rows, alpha, beta);
 }
 
 GpuMat& GpuMat::operator = (const Scalar& s)
diff --git a/modules/gpu/src/precomp.hpp b/modules/gpu/src/precomp.hpp
index a632af0acf..1caa9dbcb6 100644
--- a/modules/gpu/src/precomp.hpp
+++ b/modules/gpu/src/precomp.hpp
@@ -51,6 +51,7 @@
 #endif
 
 #include <iostream>
+#include <limits>
 
 #include "opencv2/gpu/gpu.hpp"
 
diff --git a/tests/gpu/src/convert_to.cpp b/tests/gpu/src/convert_to.cpp
new file mode 100644
index 0000000000..c53fbc455a
--- /dev/null
+++ b/tests/gpu/src/convert_to.cpp
@@ -0,0 +1,89 @@
+#include "gputest.hpp"
+#include <string>
+#include <iostream>
+#include <fstream>
+#include <iterator>
+#include <limits>
+#include <numeric>
+
+using namespace cv;
+using namespace std;
+using namespace gpu;
+
+class CV_GpuMatOpConvertTo : public CvTest
+{
+    public:
+        CV_GpuMatOpConvertTo();
+        ~CV_GpuMatOpConvertTo();
+    protected:
+        void run(int);
+};
+
+CV_GpuMatOpConvertTo::CV_GpuMatOpConvertTo(): CvTest( "GpuMatOperatorConvertTo", "convertTo" ) {}
+CV_GpuMatOpConvertTo::~CV_GpuMatOpConvertTo() {}
+
+void CV_GpuMatOpConvertTo::run( int /* start_from */)
+{
+    const Size img_size(67, 35);
+
+    const int types[] = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F/**/};
+    const int types_num = sizeof(types) / sizeof(int);
+
+    const char* types_str[] = {"CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S", "CV_32F", "CV_64F"};
+
+    bool passed = true;
+
+    for (int i = 0; i < types_num && passed; ++i)
+    {
+        for (int j = 0; j < types_num && passed; ++j)
+        {
+            for (int c = 1; c < 2 && passed; ++c)
+            {
+                //if (i == j)
+                  //  continue;
+
+                const int src_type = CV_MAKETYPE(types[i], c);
+                const int dst_type = types[j];
+                const double alpha = (double)rand() / RAND_MAX * 10.0;
+                const double beta = (double)rand() / RAND_MAX * 10.0;
+
+                Mat cpumatsrc(img_size, src_type);
+                randu(cpumatsrc, Scalar::all(0), Scalar::all(10));
+                GpuMat gpumatsrc(cpumatsrc);
+                Mat cpumatdst;
+                GpuMat gpumatdst;
+                
+                //double cput = (double)getTickCount();
+                cpumatsrc.convertTo(cpumatdst, dst_type, alpha, beta);
+                //cput = ((double)getTickCount() - cput) / getTickFrequency();
+
+                //double gput = (double)getTickCount();
+                gpumatsrc.convertTo(gpumatdst, dst_type, alpha, beta);
+                //gput = ((double)getTickCount() - gput) / getTickFrequency();
+
+                /*cout << "convertTo time: " << endl;
+                cout << "CPU time: " << cput << endl;
+                cout << "GPU time: " << gput << endl;/**/               
+
+                double r = norm(cpumatdst, gpumatdst, NORM_L1);
+                if (r > 1)
+                {
+                    /*namedWindow("CPU"); 
+                    imshow("CPU", cpumatdst); 
+                    namedWindow("GPU"); 
+                    imshow("GPU", gpumatdst); 
+                    waitKey();/**/
+                    
+                    cout << "Failed:" << endl;
+                    cout << "\tr = " << r << endl;
+                    cout << "\tSRC_TYPE=" << types_str[i] << "C" << c << " DST_TYPE=" << types_str[j] << endl;/**/
+
+                    passed = false;
+                }
+            }
+        }
+    }
+    ts->set_failed_test_info(passed ? CvTS::OK : CvTS::FAIL_GENERIC);
+}
+
+CV_GpuMatOpConvertTo CV_GpuMatOpConvertTo_test;