diff --git a/tests/validation/reference/ColorConvertHelper.h b/tests/validation/reference/ColorConvertHelper.h
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+++ b/tests/validation/reference/ColorConvertHelper.h
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+/*
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *asymm_int_mult
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, asymm_int_multDAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_TEST_VALIDATION_COLOR_CONVERT_H__
+#define __ARM_COMPUTE_TEST_VALIDATION_COLOR_CONVERT_H__
+
+#include "Utils.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace colorconvert_helper
+{
+namespace detail
+{
+constexpr float red_coef_bt709    = 1.5748F;
+constexpr float green_coef_bt709  = -0.1873f;
+constexpr float green_coef2_bt709 = -0.4681f;
+constexpr float blue_coef_bt709   = 1.8556f;
+
+template <typename T>
+inline void yuyv_to_rgb_calculation(const SimpleTensor<T> yvec, const SimpleTensor<T> vvec, const SimpleTensor<T> yyvec, const SimpleTensor<T> uvec, SimpleTensor<T> &dst)
+{
+    const int dst_width  = dst.shape().x();
+    const int dst_height = dst.shape().y();
+
+    for(int y = 0; y < dst_height; ++y)
+    {
+        int x_coord = 0;
+        for(int x = 0; x < dst_width; x += 2, x_coord++)
+        {
+            Coordinates dst_coord{ x, y };
+            auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+            float       result    = 0.f;
+
+            T           border_value(0);
+            const int   yvec_val  = validation::tensor_elem_at(yvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   vvec_val  = validation::tensor_elem_at(vvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   yyvec_val = validation::tensor_elem_at(yyvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const int   uvec_val  = validation::tensor_elem_at(uvec, { x_coord, y }, BorderMode::CONSTANT, border_value);
+            const float red       = (vvec_val - 128) * red_coef_bt709;
+            const float green     = (uvec_val - 128) * green_coef_bt709 + (vvec_val - 128) * green_coef2_bt709;
+            const float blue      = (uvec_val - 128) * blue_coef_bt709;
+
+            for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+            {
+                if(channel_idx == 0)
+                {
+                    // Channel 'R'
+                    result = yvec_val + red;
+                }
+                else if(channel_idx == 1)
+                {
+                    // Channel 'G'
+                    result = yvec_val + green;
+                }
+                else if(channel_idx == 2)
+                {
+                    // Channel 'B'
+                    result = yvec_val + blue;
+                }
+                else
+                {
+                    // Channel 'A'
+                    result = 255;
+                }
+
+                if(result < 0)
+                {
+                    result = 0;
+                }
+                else if(result > 255)
+                {
+                    result = 255;
+                }
+                dst_pixel[channel_idx] = result;
+            }
+
+            dst_coord.set(0, x + 1);
+            dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+            for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+            {
+                if(channel_idx == 0)
+                {
+                    // Channel 'R'
+                    result = yyvec_val + red;
+                }
+                else if(channel_idx == 1)
+                {
+                    // Channel 'G'
+                    result = yyvec_val + green;
+                }
+                else if(channel_idx == 2)
+                {
+                    // Channel 'B'
+                    result = yyvec_val + blue;
+                }
+                else
+                {
+                    // Channel 'A'
+                    result = 255;
+                }
+
+                if(result < 0)
+                {
+                    result = 0;
+                }
+                else if(result > 255)
+                {
+                    result = 255;
+                }
+                dst_pixel[channel_idx] = result;
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_rgb_to_rgbx(const SimpleTensor<T> src, SimpleTensor<T> &dst)
+{
+    for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+    {
+        const int width  = dst.shape().x();
+        const int height = dst.shape().y();
+
+        for(int y = 0; y < height; ++y)
+        {
+            for(int x = 0; x < width; ++x)
+            {
+                const Coordinates src_coord{ x, y };
+                const Coordinates dst_coord{ x, y };
+
+                const auto *src_pixel = reinterpret_cast<const T *>(src(src_coord));
+                auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+                if(channel_idx == 3)
+                {
+                    dst_pixel[channel_idx] = 255;
+                    continue;
+                }
+
+                dst_pixel[channel_idx] = src_pixel[channel_idx];
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_rgbx_to_rgb(const SimpleTensor<T> src, SimpleTensor<T> &dst)
+{
+    for(int channel_idx = 0; channel_idx < dst.num_channels(); ++channel_idx)
+    {
+        const int width  = dst.shape().x();
+        const int height = dst.shape().y();
+
+        for(int y = 0; y < height; ++y)
+        {
+            for(int x = 0; x < width; ++x)
+            {
+                const Coordinates src_coord{ x, y };
+                const Coordinates dst_coord{ x, y };
+
+                const auto *src_pixel = reinterpret_cast<const T *>(src(src_coord));
+                auto       *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
+
+                dst_pixel[channel_idx] = src_pixel[channel_idx];
+            }
+        }
+    }
+}
+
+template <typename T>
+inline void colorconvert_yuyv_to_rgb(const SimpleTensor<T> src, const Format format, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ src.shape().x(), src.shape().y() }, Format::U8);
+
+    const int step_x = (Format::YUYV422 == format || Format::UYVY422 == format) ? 2 : 1;
+
+    const int   offset = (Format::YUYV422 == format) ? 0 : 1;
+    Coordinates elem_coord{ 0, 0 };
+
+    const int width  = vvec.shape().x();
+    const int height = vvec.shape().y();
+
+    for(int y = 0; y < height; ++y)
+    {
+        for(int x = 0; x < width; ++x)
+        {
+            const Coordinates src_coord{ x * step_x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(src(src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *uvec_pixel  = reinterpret_cast<T *>(uvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            auto             *vvec_pixel  = reinterpret_cast<T *>(vvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[0 + offset];
+            uvec_pixel[x]                 = src_pixel[1 - offset];
+            yyvec_pixel[x]                = src_pixel[2 + offset];
+            vvec_pixel[x]                 = src_pixel[3 - offset];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+template <typename T>
+inline void colorconvert_iyuv_to_rgb(const TensorShape &shape, const std::vector<SimpleTensor<T>> &tensor_planes, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+
+    Coordinates elem_coord{ 0, 0 };
+    const int   yvec_width  = yvec.shape().x();
+    const int   yvec_height = yvec.shape().y();
+
+    for(int y = 0; y < yvec_height; ++y)
+    {
+        for(int x = 0; x < yvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(tensor_planes[0](src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[x];
+            yyvec_pixel[x]                = src_pixel[x + 1];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    const int uvec_width  = uvec.shape().x();
+    const int uvec_height = uvec.shape().y();
+
+    Coordinates top_elem_coord{ 0, 0 };
+    Coordinates bottom_elem_coord{ 0, 1 };
+    for(int y = 0; y < uvec_height; y += 2)
+    {
+        for(int x = 0; x < uvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y / 2 };
+            const auto       *src_pixel      = reinterpret_cast<const T *>(tensor_planes[1](src_coord));
+            auto             *uvec_pixel_top = reinterpret_cast<T *>(uvec(top_elem_coord));
+            auto             *vvec_pixel_top = reinterpret_cast<T *>(vvec(top_elem_coord));
+
+            auto *uvec_pixel_bottom = reinterpret_cast<T *>(uvec(bottom_elem_coord));
+            auto *vvec_pixel_bottom = reinterpret_cast<T *>(vvec(bottom_elem_coord));
+            uvec_pixel_top[x]       = src_pixel[0];
+            vvec_pixel_top[x]       = src_pixel[0];
+            uvec_pixel_bottom[x]    = src_pixel[0];
+            vvec_pixel_bottom[x]    = src_pixel[0];
+        }
+        top_elem_coord.set(1, y + 2);
+        bottom_elem_coord.set(1, top_elem_coord.y() + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+template <typename T>
+inline void colorconvert_nv12_to_rgb(const TensorShape &shape, const Format format, const std::vector<SimpleTensor<T>> &tensor_planes, SimpleTensor<T> &dst)
+{
+    SimpleTensor<T> yvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> uvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> yyvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+    SimpleTensor<T> vvec(TensorShape{ tensor_planes[0].shape().x(), tensor_planes[0].shape().y() }, Format::U8);
+
+    const int offset = (Format::NV12 == format) ? 0 : 1;
+
+    Coordinates elem_coord{ 0, 0 };
+    const int   yvec_width  = yvec.shape().x();
+    const int   yvec_height = yvec.shape().y();
+
+    for(int y = 0; y < yvec_height; ++y)
+    {
+        for(int x = 0; x < yvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y };
+            const auto       *src_pixel   = reinterpret_cast<const T *>(tensor_planes[0](src_coord));
+            auto             *yvec_pixel  = reinterpret_cast<T *>(yvec(elem_coord));
+            auto             *yyvec_pixel = reinterpret_cast<T *>(yyvec(elem_coord));
+            yvec_pixel[x]                 = src_pixel[x];
+            yyvec_pixel[x]                = src_pixel[x + 1];
+        }
+        elem_coord.set(1, y + 1);
+    }
+
+    const int uvec_width  = uvec.shape().x();
+    const int uvec_height = uvec.shape().y();
+
+    Coordinates top_elem_coord{ 0, 0 };
+    Coordinates bottom_elem_coord{ 0, 1 };
+    for(int y = 0; y < uvec_height; y += 2)
+    {
+        for(int x = 0; x < uvec_width; ++x)
+        {
+            const Coordinates src_coord{ x, y / 2 };
+            const auto       *src_pixel      = reinterpret_cast<const T *>(tensor_planes[1](src_coord));
+            auto             *uvec_pixel_top = reinterpret_cast<T *>(uvec(top_elem_coord));
+            auto             *vvec_pixel_top = reinterpret_cast<T *>(vvec(top_elem_coord));
+
+            auto *uvec_pixel_bottom = reinterpret_cast<T *>(uvec(bottom_elem_coord));
+            auto *vvec_pixel_bottom = reinterpret_cast<T *>(vvec(bottom_elem_coord));
+            uvec_pixel_top[x]       = src_pixel[0 + offset];
+            vvec_pixel_top[x]       = src_pixel[1 - offset];
+            uvec_pixel_bottom[x]    = src_pixel[0 + offset];
+            vvec_pixel_bottom[x]    = src_pixel[1 - offset];
+        }
+        top_elem_coord.set(1, y + 2);
+        bottom_elem_coord.set(1, top_elem_coord.y() + 1);
+    }
+
+    yuyv_to_rgb_calculation(yvec, vvec, yyvec, uvec, dst);
+}
+
+} // namespace detail
+} // color_convert_helper
+} // namespace test
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_TEST_VALIDATION_COLOR_CONVERT_H__ */