ipa: rkisp1: Add support of Denoise Pre-Filter control
The denoise pre-filter algorithm is a bilateral filter which combines a range filter and a domain filter. The denoise pre-filter is applied before demosaicing. Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Reviewed-by: Umang Jain <umang.jain@ideasonboard.com> Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>
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src/ipa/rkisp1/algorithms/dpf.cpp
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src/ipa/rkisp1/algorithms/dpf.cpp
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/* SPDX-License-Identifier: LGPL-2.1-or-later */
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/*
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* Copyright (C) 2021-2022, Ideas On Board
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*
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* dpf.cpp - RkISP1 Denoise Pre-Filter control
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*/
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#include "dpf.h"
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#include <cmath>
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#include <libcamera/base/log.h>
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#include <libcamera/control_ids.h>
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#include "linux/rkisp1-config.h"
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/**
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* \file dpf.h
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*/
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namespace libcamera {
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namespace ipa::rkisp1::algorithms {
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/**
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* \class Dpf
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* \brief RkISP1 Denoise Pre-Filter control
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*
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* The denoise pre-filter algorithm is a bilateral filter which combines a
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* range filter and a domain filter. The denoise pre-filter is applied before
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* demosaicing.
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*/
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LOG_DEFINE_CATEGORY(RkISP1Dpf)
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Dpf::Dpf()
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: initialized_(false), config_({}), strengthConfig_({})
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{
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}
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/**
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* \copydoc libcamera::ipa::Algorithm::init
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*/
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int Dpf::init([[maybe_unused]] IPAContext &context,
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const YamlObject &tuningData)
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{
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std::vector<uint8_t> values;
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/*
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* The domain kernel is configured with a 9x9 kernel for the green
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* pixels, and a 13x9 or 9x9 kernel for red and blue pixels.
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*/
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const YamlObject &dFObject = tuningData["DomainFilter"];
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/*
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* For the green component, we have the 9x9 kernel specified
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* as 6 coefficients:
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* Y
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* ^
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* 4 | 6 5 4 5 6
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* 3 | 5 3 3 5
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* 2 | 5 3 2 3 5
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* 1 | 3 1 1 3
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* 0 - 4 2 0 2 4
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* -1 | 3 1 1 3
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* -2 | 5 3 2 3 5
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* -3 | 5 3 3 5
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* -4 | 6 5 4 5 6
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* +---------|--------> X
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* -4....-1 0 1 2 3 4
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*/
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values = dFObject["g"].getList<uint8_t>().value_or(utils::defopt);
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if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS) {
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LOG(RkISP1Dpf, Error)
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<< "Invalid 'DomainFilter:g': expected "
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<< RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS
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<< " elements, got " << values.size();
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return -EINVAL;
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}
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std::copy_n(values.begin(), values.size(),
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std::begin(config_.g_flt.spatial_coeff));
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config_.g_flt.gr_enable = true;
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config_.g_flt.gb_enable = true;
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/*
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* For the red and blue components, we have the 13x9 kernel specified
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* as 6 coefficients:
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*
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* Y
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* ^
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* 4 | 6 5 4 3 4 5 6
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* |
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* 2 | 5 4 2 1 2 4 5
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* |
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* 0 - 5 3 1 0 1 3 5
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* |
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* -2 | 5 4 2 1 2 4 5
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* |
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* -4 | 6 5 4 3 4 5 6
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* +-------------|------------> X
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* -6 -4 -2 0 2 4 6
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*
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* For a 9x9 kernel, columns -6 and 6 are dropped, so coefficient
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* number 6 is not used.
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*/
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values = dFObject["rb"].getList<uint8_t>().value_or(utils::defopt);
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if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS &&
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values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1) {
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LOG(RkISP1Dpf, Error)
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<< "Invalid 'DomainFilter:rb': expected "
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<< RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1
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<< " or " << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS
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<< " elements, got " << values.size();
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return -EINVAL;
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}
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config_.rb_flt.fltsize = values.size() == RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS
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? RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_13x9
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: RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_9x9;
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std::copy_n(values.begin(), values.size(),
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std::begin(config_.rb_flt.spatial_coeff));
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config_.rb_flt.r_enable = true;
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config_.rb_flt.b_enable = true;
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/*
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* The range kernel is configured with a noise level lookup table (NLL)
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* which stores a piecewise linear function that characterizes the
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* sensor noise profile as a noise level function curve (NLF).
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*/
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const YamlObject &rFObject = tuningData["NoiseLevelFunction"];
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std::vector<uint16_t> nllValues;
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nllValues = rFObject["coeff"].getList<uint16_t>().value_or(utils::defopt);
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if (nllValues.size() != RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS) {
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LOG(RkISP1Dpf, Error)
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<< "Invalid 'RangeFilter:coeff': expected "
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<< RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS
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<< " elements, got " << nllValues.size();
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return -EINVAL;
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}
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std::copy_n(nllValues.begin(), nllValues.size(),
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std::begin(config_.nll.coeff));
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std::string scaleMode = rFObject["scale-mode"].get<std::string>("");
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if (scaleMode == "linear") {
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config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LINEAR;
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} else if (scaleMode == "logarithmic") {
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config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LOGARITHMIC;
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} else {
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LOG(RkISP1Dpf, Error)
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<< "Invalid 'RangeFilter:scale-mode': expected "
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<< "'linear' or 'logarithmic' value, got "
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<< scaleMode;
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return -EINVAL;
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}
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const YamlObject &fSObject = tuningData["FilterStrength"];
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strengthConfig_.r = fSObject["r"].get<uint16_t>(64);
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strengthConfig_.g = fSObject["g"].get<uint16_t>(64);
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strengthConfig_.b = fSObject["b"].get<uint16_t>(64);
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initialized_ = true;
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return 0;
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}
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/**
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* \copydoc libcamera::ipa::Algorithm::queueRequest
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*/
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void Dpf::queueRequest(IPAContext &context,
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[[maybe_unused]] const uint32_t frame,
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const ControlList &controls)
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{
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auto &dpf = context.frameContext.dpf;
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const auto &denoise = controls.get(controls::draft::NoiseReductionMode);
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if (denoise) {
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LOG(RkISP1Dpf, Debug) << "Set denoise to " << *denoise;
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switch (*denoise) {
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case controls::draft::NoiseReductionModeOff:
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dpf.denoise = false;
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dpf.updateParams = true;
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break;
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case controls::draft::NoiseReductionModeMinimal:
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case controls::draft::NoiseReductionModeHighQuality:
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case controls::draft::NoiseReductionModeFast:
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dpf.denoise = true;
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dpf.updateParams = true;
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break;
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default:
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LOG(RkISP1Dpf, Error)
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<< "Unsupported denoise value "
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<< *denoise;
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}
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}
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}
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/**
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* \copydoc libcamera::ipa::Algorithm::prepare
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*/
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void Dpf::prepare(IPAContext &context, rkisp1_params_cfg *params)
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{
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if (!initialized_)
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return;
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auto &dpf = context.frameContext.dpf;
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if (context.frameContext.frameCount == 0) {
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params->others.dpf_config = config_;
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params->others.dpf_strength_config = strengthConfig_;
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const auto &awb = context.configuration.awb;
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const auto &lsc = context.configuration.lsc;
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auto &mode = params->others.dpf_config.gain.mode;
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/*
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* The DPF needs to take into account the total amount of
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* digital gain, which comes from the AWB and LSC modules. The
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* DPF hardware can be programmed with a digital gain value
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* manually, but can also use the gains supplied by the AWB and
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* LSC modules automatically when they are enabled. Use that
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* mode of operation as it simplifies control of the DPF.
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*/
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if (awb.enabled && lsc.enabled)
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mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_AWB_LSC_GAINS;
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else if (awb.enabled)
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mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_AWB_GAINS;
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else if (lsc.enabled)
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mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_LSC_GAINS;
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else
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mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_DISABLED;
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params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_DPF |
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RKISP1_CIF_ISP_MODULE_DPF_STRENGTH;
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}
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if (dpf.updateParams) {
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params->module_en_update |= RKISP1_CIF_ISP_MODULE_DPF;
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if (dpf.denoise)
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params->module_ens |= RKISP1_CIF_ISP_MODULE_DPF;
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dpf.updateParams = false;
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}
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}
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REGISTER_IPA_ALGORITHM(Dpf, "Dpf")
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} /* namespace ipa::rkisp1::algorithms */
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} /* namespace libcamera */
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