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/* SPDX-License-Identifier: BSD-2-Clause */
/*
* Copyright (C) 2019, Raspberry Pi (Trading) Limited
*
* noise.cpp - Noise control algorithm
*/
#include <math.h>
#include "../device_status.h"
#include "../logging.hpp"
#include "../noise_status.h"
#include "noise.hpp"
using namespace RPi;
#define NAME "rpi.noise"
Noise::Noise(Controller *controller)
: Algorithm(controller), mode_factor_(1.0)
{
}
char const *Noise::Name() const
{
return NAME;
}
void Noise::SwitchMode(CameraMode const &camera_mode, Metadata *metadata)
{
(void)metadata;
// For example, we would expect a 2x2 binned mode to have a "noise
// factor" of sqrt(2x2) = 2. (can't be less than one, right?)
mode_factor_ = std::max(1.0, camera_mode.noise_factor);
}
void Noise::Read(boost::property_tree::ptree const ¶ms)
{
RPI_LOG(Name());
reference_constant_ = params.get<double>("reference_constant");
reference_slope_ = params.get<double>("reference_slope");
}
void Noise::Prepare(Metadata *image_metadata)
{
struct DeviceStatus device_status;
device_status.analogue_gain = 1.0; // keep compiler calm
if (image_metadata->Get("device.status", device_status) == 0) {
// There is a slight question as to exactly how the noise
// profile, specifically the constant part of it, scales. For
// now we assume it all scales the same, and we'll revisit this
// if it proves substantially wrong. NOTE: we may also want to
// make some adjustments based on the camera mode (such as
// binning), if we knew how to discover it...
double factor = sqrt(device_status.analogue_gain) / mode_factor_;
struct NoiseStatus status;
status.noise_constant = reference_constant_ * factor;
status.noise_slope = reference_slope_ * factor;
image_metadata->Set("noise.status", status);
RPI_LOG(Name() << ": constant " << status.noise_constant
<< " slope " << status.noise_slope);
} else
RPI_WARN(Name() << " no metadata");
}
// Register algorithm with the system.
static Algorithm *Create(Controller *controller)
{
return new Noise(controller);
}
static RegisterAlgorithm reg(NAME, &Create);
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