diff --git a/src/core/CL/cl_kernels/deconvolution_layer.cl b/src/core/CL/cl_kernels/deconvolution_layer.cl
index e15482c..e5169f9 100644
--- a/src/core/CL/cl_kernels/deconvolution_layer.cl
+++ b/src/core/CL/cl_kernels/deconvolution_layer.cl
@@ -25,7 +25,7 @@
 
 /** This function applies upsample on an input image.
  *
- * @param[in]  src_ptr                           Pointer to the source image. Supported data types: F16/F32
+ * @param[in]  src_ptr                           Pointer to the source image. Supported data types: QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source image in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source image in Y dimension (in bytes)
@@ -33,7 +33,7 @@
  * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
  * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
  * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source image
- * @param[out] dst_ptr                           Pointer to the destination image. Supported data types: F16/F32
+ * @param[out] dst_ptr                           Pointer to the destination image. Supported data types: same as @p src_ptr
  * @param[in]  dst_stride_x                      Stride of the destination image in X dimension (in bytes)
  * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  dst_stride_y                      Stride of the destination image in Y dimension (in bytes)
diff --git a/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp b/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
index c6a0031..be3a926 100644
--- a/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
+++ b/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
@@ -43,7 +43,7 @@
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
 
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
     ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(0) == 0);
     ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(1) == 0);
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
index 40562b5..3f5b8c9 100644
--- a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
@@ -47,7 +47,7 @@
                                       unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(0) != weights->dimension(1));
     ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(0) < 1);
     ARM_COMPUTE_RETURN_ERROR_ON(!info.padding_is_symmetric());
@@ -67,7 +67,14 @@
 
     if(bias != nullptr)
     {
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias);
+        if(is_data_type_quantized_asymmetric(input->data_type()))
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32);
+        }
+        else
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias);
+        }
     }
 
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(Window::DimX) != output_shape.x(), "Output's width is invalid.");
@@ -98,7 +105,7 @@
     const TensorShape output_shape = deconvolution_output_shape(out_dims, input->info()->tensor_shape(), weights->info()->tensor_shape());
 
     // Output auto initialization if not yet initialized
-    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
+    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->quantization_info());
 
     // Perform validation step
     ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayer::validate(input->info(), weights->info(), bias == nullptr ? nullptr : bias->info(), output->info(), info, inner_border_right, inner_border_top));
@@ -108,13 +115,13 @@
     _memory_group.manage(&_scaled_output);
 
     // configure scale function
-    // Init and allocate intermmidiate tensor for output, same size as input but the first two axis are the same as the output tensor
+    // Init and allocate intermediate tensor for output, same size as input but the first two axis are the same as the output tensor
     TensorShape        scale_out_shape(input->info()->tensor_shape());
     const unsigned int out_x = input->info()->dimension(0) + (input->info()->dimension(0) - 1) * (stride_x - 1) + inner_border_right + 2 * info.pad().first;
     const unsigned int out_y = input->info()->dimension(1) + (input->info()->dimension(1) - 1) * (stride_y - 1) + inner_border_top + 2 * info.pad().second;
     scale_out_shape.set(0, out_x);
     scale_out_shape.set(1, out_y);
-    TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type());
+    TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->quantization_info());
     _scaled_output.allocator()->init(scale_out_info);
 
     _scale_f.configure(input, &_scaled_output, BorderSize(inner_border_top, inner_border_right), info);
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp b/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
index 13a24f8..ce8667d 100644
--- a/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
+++ b/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017, 2018 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -57,7 +57,15 @@
 void CLDeconvolutionLayerUpsample::run()
 {
     _output->map(CLScheduler::get().queue(), true);
-    memset(_output->buffer(), 0, _output->info()->total_size());
+    if(is_data_type_quantized_asymmetric(_output->info()->data_type()))
+    {
+        const uint8_t quantized_zero = _output->info()->quantization_info().offset;
+        std::fill_n(_output->buffer(), _output->info()->total_size(), quantized_zero);
+    }
+    else
+    {
+        memset(_output->buffer(), 0, _output->info()->total_size());
+    }
     _output->unmap(CLScheduler::get().queue());
 
     CLScheduler::get().enqueue(_upsample, false);