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/*
* Copyright (c) 2016-2018 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:
*
* 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, DAMAGES 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_NELAPLACIANRECONSTRUCT_H__
#define __ARM_COMPUTE_NELAPLACIANRECONSTRUCT_H__
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h"
#include "arm_compute/runtime/NEON/functions/NEDepthConvertLayer.h"
#include "arm_compute/runtime/NEON/functions/NEScale.h"
#include "arm_compute/runtime/Pyramid.h"
#include <cstdint>
#include <memory>
namespace arm_compute
{
class ITensor;
using IImage = ITensor;
/** Basic function to execute laplacian reconstruction. This function calls the following NEON kernels and functions:
*
* -# @ref NEArithmeticAddition
* -# @ref NEScale
* -# @ref NEDepthConvertLayer
*
* This function reconstructs the original image from a Laplacian Image Pyramid.
*
* The input image is added to the last level of the Laplacian pyramid L(n-2), the resulting image is upsampled to the
* resolution of the next pyramid level.
*
* I(n-2) = upsample( input + L(n-1)
*
* For each pyramid level i, except i=0 and i=n-1:
* I(i-1) = upsample(I(i) + L(i))
*
* output = I(0) + L(0)
*/
class NELaplacianReconstruct : public IFunction
{
public:
/** Constructor */
NELaplacianReconstruct();
/** Initialise the function's source, destinations and border mode.
*
* The Output image must have the same size as the first level of the pyramid.
* The Input image must have the same size as the last level of the pyramid.
*
* The idea is to reconstuct the original hi-res image from a low-res representation of it and the laplacian pyramid.
*
* @param[in] pyramid Laplacian pyramid tensors, Data type supported at each level: S16.
* @param[in] input Source tensor. Data type supported: S16.
* @param[out] output Output tensor. Data type supported: U8.
* @param[in] border_mode Border mode to use for the convolution.
* @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT.
*
*/
void configure(const IPyramid *pyramid, ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value);
// Inherited methods overridden:
void run() override;
private:
Pyramid _tmp_pyr;
std::unique_ptr<NEArithmeticAddition[]> _addf;
std::unique_ptr<NEScale[]> _scalef;
NEDepthConvertLayer _depthf;
};
}
#endif /*__ARM_COMPUTE_NELAPLACIANRECONSTRUCT_H__ */
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