diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
index 41ea914..2a8e36b 100644
--- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2018 ARM Limited.
+ * Copyright (c) 2016-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -56,12 +56,12 @@
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
-     * @param[in]  input1          An input tensor. Data types supported: U8/S16/F16/F32
-     * @param[in]  input2          An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
-     * @param[out] output          The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
+     * @param[in]  input1          An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32
+     * @param[in]  input2          An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
+     * @param[out] output          Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
      * @param[in]  scale           Scale to apply after multiplication.
      *                             Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
-     * @param[in]  overflow_policy Overflow policy.
+     * @param[in]  overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8.
      * @param[in]  rounding_policy Rounding policy.
      */
     void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
@@ -70,12 +70,12 @@
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
-     * @param[in] input1          An input tensor. Data types supported: U8/S16/F16/F32
-     * @param[in] input2          An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
-     * @param[in] output          The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
+     * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/S16/F16/F32
+     * @param[in] input2          An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
+     * @param[in] output          Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
      * @param[in] scale           Scale to apply after multiplication.
      *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
-     * @param[in] overflow_policy Overflow policy.
+     * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8.
      * @param[in] rounding_policy Rounding policy.
      *
      * @return a status
@@ -92,6 +92,7 @@
      * @param[in]  input1_ptr Pointer to the first input tensor.
      * @param[in]  input2_ptr Pointer to the second input tensor.
      * @param[out] output_ptr Pointer to the output tensor.
+     * @param[in]  scale      Integer scale factor.
      */
     using MulFunctionInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale);
     /** Common signature for all the specialised multiplication functions with float scaling factor
@@ -99,11 +100,26 @@
      * @param[in]  input1_ptr Pointer to the first input tensor.
      * @param[in]  input2_ptr Pointer to the second input tensor.
      * @param[out] output_ptr Pointer to the output tensor.
+     * @param[in]  scale      Float scale factor.
      */
     using MulFunctionFloat = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale);
+    /** Common signature for all the specialised QASYMM8 multiplication functions with float scaling factor
+     *
+     * @param[in]  input1_ptr      Pointer to the first input tensor.
+     * @param[in]  input2_ptr      Pointer to the second input tensor.
+     * @param[out] output_ptr      Pointer to the output tensor.
+     * @param[in]  scale           Float scale factor.
+     * @param[in]  input1_qua_info Quantization Info of tensor input1.
+     * @param[in]  input2_qua_info Quantization Info of tensor input2.
+     * @param[in]  output_qua_info Quantization Info of tensor output.
+     *
+     */
+    using MulFunctionQASYMM8 = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale,
+                                    const QuantizationInfo &input1_qua_info, const QuantizationInfo &input2_qua_info, const QuantizationInfo &output_qua_info);
 
-    MulFunctionFloat *_func_float;
-    MulFunctionInt   *_func_int;
+    MulFunctionFloat   *_func_float;
+    MulFunctionInt     *_func_int;
+    MulFunctionQASYMM8 *_func_qasymm8;
 
 private:
     const ITensor *_input1;