/* | |

* Copyright (c) 2017, Alliance for Open Media. All rights reserved | |

* | |

* This source code is subject to the terms of the BSD 2 Clause License and | |

* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License | |

* was not distributed with this source code in the LICENSE file, you can | |

* obtain it at www.aomedia.org/license/software. If the Alliance for Open | |

* Media Patent License 1.0 was not distributed with this source code in the | |

* PATENTS file, you can obtain it at www.aomedia.org/license/patent. | |

*/ | |

#ifndef AOM_AOM_DSP_NOISE_MODEL_H_ | |

#define AOM_AOM_DSP_NOISE_MODEL_H_ | |

#ifdef __cplusplus | |

extern "C" { | |

#endif // __cplusplus | |

#include <stdint.h> | |

#include "aom_dsp/grain_synthesis.h" | |

#include "aom_scale/yv12config.h" | |

/*!\brief Wrapper of data required to represent linear system of eqns and soln. | |

*/ | |

typedef struct { | |

double *A; | |

double *b; | |

double *x; | |

int n; | |

} aom_equation_system_t; | |

/*!\brief Representation of a piecewise linear curve | |

* | |

* Holds n points as (x, y) pairs, that store the curve. | |

*/ | |

typedef struct { | |

double (*points)[2]; | |

int num_points; | |

} aom_noise_strength_lut_t; | |

/*!\brief Init the noise strength lut with the given number of points*/ | |

int aom_noise_strength_lut_init(aom_noise_strength_lut_t *lut, int num_points); | |

/*!\brief Frees the noise strength lut. */ | |

void aom_noise_strength_lut_free(aom_noise_strength_lut_t *lut); | |

/*!\brief Evaluate the lut at the point x. | |

* | |

* \param[in] lut The lut data. | |

* \param[in] x The coordinate to evaluate the lut. | |

*/ | |

double aom_noise_strength_lut_eval(const aom_noise_strength_lut_t *lut, | |

double x); | |

/*!\brief Helper struct to model noise strength as a function of intensity. | |

* | |

* Internally, this structure holds a representation of a linear system | |

* of equations that models noise strength (standard deviation) as a | |

* function of intensity. The mapping is initially stored using a | |

* piecewise representation with evenly spaced bins that cover the entire | |

* domain from [min_intensity, max_intensity]. Each observation (x,y) gives a | |

* constraint of the form: | |

* y_{i} (1 - a) + y_{i+1} a = y | |

* where y_{i} is the value of bin i and x_{i} <= x <= x_{i+1} and | |

* a = x/(x_{i+1} - x{i}). The equation system holds the corresponding | |

* normal equations. | |

* | |

* As there may be missing data, the solution is regularized to get a | |

* complete set of values for the bins. A reduced representation after | |

* solving can be obtained by getting the corresponding noise_strength_lut_t. | |

*/ | |

typedef struct { | |

aom_equation_system_t eqns; | |

double min_intensity; | |

double max_intensity; | |

int num_bins; | |

int num_equations; | |

double total; | |

} aom_noise_strength_solver_t; | |

/*!\brief Initializes the noise solver with the given number of bins. | |

* | |

* Returns 0 if initialization fails. | |

* | |

* \param[in] solver The noise solver to be initialized. | |

* \param[in] num_bins Number of bins to use in the internal representation. | |

* \param[in] bit_depth The bit depth used to derive {min,max}_intensity. | |

*/ | |

int aom_noise_strength_solver_init(aom_noise_strength_solver_t *solver, | |

int num_bins, int bit_depth); | |

void aom_noise_strength_solver_free(aom_noise_strength_solver_t *solver); | |

/*!\brief Gets the x coordinate of bin i. | |

* | |

* \param[in] i The bin whose coordinate to query. | |

*/ | |

double aom_noise_strength_solver_get_center( | |

const aom_noise_strength_solver_t *solver, int i); | |

/*!\brief Add an observation of the block mean intensity to its noise strength. | |

* | |

* \param[in] block_mean The average block intensity, | |

* \param[in] noise_std The observed noise strength. | |

*/ | |

void aom_noise_strength_solver_add_measurement( | |

aom_noise_strength_solver_t *solver, double block_mean, double noise_std); | |

/*!\brief Solves the current set of equations for the noise strength. */ | |

int aom_noise_strength_solver_solve(aom_noise_strength_solver_t *solver); | |

/*!\brief Fits a reduced piecewise linear lut to the internal solution | |

* | |

* \param[in] max_num_points The maximum number of output points | |

* \param[out] lut The output piecewise linear lut. | |

*/ | |

int aom_noise_strength_solver_fit_piecewise( | |

const aom_noise_strength_solver_t *solver, int max_num_points, | |

aom_noise_strength_lut_t *lut); | |

/*!\brief Helper for holding precomputed data for finding flat blocks. | |

* | |

* Internally a block is modeled with a low-order polynomial model. A | |

* planar model would be a bunch of equations like: | |

* <[y_i x_i 1], [a_1, a_2, a_3]> = b_i | |

* for each point in the block. The system matrix A with row i as [y_i x_i 1] | |

* is maintained as is the inverse, inv(A'*A), so that the plane parameters | |

* can be fit for each block. | |

*/ | |

typedef struct { | |

double *AtA_inv; | |

double *A; | |

int num_params; // The number of parameters used for internal low-order model | |

int block_size; // The block size the finder was initialized with | |

double normalization; // Normalization factor (1 / (2^(bit_depth) - 1)) | |

int use_highbd; // Whether input data should be interpreted as uint16 | |

} aom_flat_block_finder_t; | |

/*!\brief Init the block_finder with the given block size, bit_depth */ | |

int aom_flat_block_finder_init(aom_flat_block_finder_t *block_finder, | |

int block_size, int bit_depth, int use_highbd); | |

void aom_flat_block_finder_free(aom_flat_block_finder_t *block_finder); | |

/*!\brief Helper to extract a block and low order "planar" model. */ | |

void aom_flat_block_finder_extract_block( | |

const aom_flat_block_finder_t *block_finder, const uint8_t *const data, | |

int w, int h, int stride, int offsx, int offsy, double *plane, | |

double *block); | |

/*!\brief Runs the flat block finder on the input data. | |

* | |

* Find flat blocks in the input image data. Returns a map of | |

* flat_blocks, where the value of flat_blocks map will be non-zero | |

* when a block is determined to be flat. A higher value indicates a bigger | |

* confidence in the decision. | |

*/ | |

int aom_flat_block_finder_run(const aom_flat_block_finder_t *block_finder, | |

const uint8_t *const data, int w, int h, | |

int stride, uint8_t *flat_blocks); | |

// The noise shape indicates the allowed coefficients in the AR model. | |

enum { | |

AOM_NOISE_SHAPE_DIAMOND = 0, | |

AOM_NOISE_SHAPE_SQUARE = 1 | |

} UENUM1BYTE(aom_noise_shape); | |

// The parameters of the noise model include the shape type, lag, the | |

// bit depth of the input images provided, and whether the input images | |

// will be using uint16 (or uint8) representation. | |

typedef struct { | |

aom_noise_shape shape; | |

int lag; | |

int bit_depth; | |

int use_highbd; | |

} aom_noise_model_params_t; | |

/*!\brief State of a noise model estimate for a single channel. | |

* | |

* This contains a system of equations that can be used to solve | |

* for the auto-regressive coefficients as well as a noise strength | |

* solver that can be used to model noise strength as a function of | |

* intensity. | |

*/ | |

typedef struct { | |

aom_equation_system_t eqns; | |

aom_noise_strength_solver_t strength_solver; | |

int num_observations; // The number of observations in the eqn system | |

double ar_gain; // The gain of the current AR filter | |

} aom_noise_state_t; | |

/*!\brief Complete model of noise for a planar video | |

* | |

* This includes a noise model for the latest frame and an aggregated | |

* estimate over all previous frames that had similar parameters. | |

*/ | |

typedef struct { | |

aom_noise_model_params_t params; | |

aom_noise_state_t combined_state[3]; // Combined state per channel | |

aom_noise_state_t latest_state[3]; // Latest state per channel | |

int (*coords)[2]; // Offsets (x,y) of the coefficient samples | |

int n; // Number of parameters (size of coords) | |

int bit_depth; | |

} aom_noise_model_t; | |

/*!\brief Result of a noise model update. */ | |

enum { | |

AOM_NOISE_STATUS_OK = 0, | |

AOM_NOISE_STATUS_INVALID_ARGUMENT, | |

AOM_NOISE_STATUS_INSUFFICIENT_FLAT_BLOCKS, | |

AOM_NOISE_STATUS_DIFFERENT_NOISE_TYPE, | |

AOM_NOISE_STATUS_INTERNAL_ERROR, | |

} UENUM1BYTE(aom_noise_status_t); | |

/*!\brief Initializes a noise model with the given parameters. | |

* | |

* Returns 0 on failure. | |

*/ | |

int aom_noise_model_init(aom_noise_model_t *model, | |

const aom_noise_model_params_t params); | |

void aom_noise_model_free(aom_noise_model_t *model); | |

/*!\brief Updates the noise model with a new frame observation. | |

* | |

* Updates the noise model with measurements from the given input frame and a | |

* denoised variant of it. Noise is sampled from flat blocks using the flat | |

* block map. | |

* | |

* Returns a noise_status indicating if the update was successful. If the | |

* Update was successful, the combined_state is updated with measurements from | |

* the provided frame. If status is OK or DIFFERENT_NOISE_TYPE, the latest noise | |

* state will be updated with measurements from the provided frame. | |

* | |

* \param[in,out] noise_model The noise model to be updated | |

* \param[in] data Raw frame data | |

* \param[in] denoised Denoised frame data. | |

* \param[in] w Frame width | |

* \param[in] h Frame height | |

* \param[in] strides Stride of the planes | |

* \param[in] chroma_sub_log2 Chroma subsampling for planes != 0. | |

* \param[in] flat_blocks A map to blocks that have been determined flat | |

* \param[in] block_size The size of blocks. | |

*/ | |

aom_noise_status_t aom_noise_model_update( | |

aom_noise_model_t *const noise_model, const uint8_t *const data[3], | |

const uint8_t *const denoised[3], int w, int h, int strides[3], | |

int chroma_sub_log2[2], const uint8_t *const flat_blocks, int block_size); | |

/*\brief Save the "latest" estimate into the "combined" estimate. | |

* | |

* This is meant to be called when the noise modeling detected a change | |

* in parameters (or for example, if a user wanted to reset estimation at | |

* a shot boundary). | |

*/ | |

void aom_noise_model_save_latest(aom_noise_model_t *noise_model); | |

/*!\brief Converts the noise_model parameters to the corresponding | |

* grain_parameters. | |

* | |

* The noise structs in this file are suitable for estimation (e.g., using | |

* floats), but the grain parameters in the bitstream are quantized. This | |

* function does the conversion by selecting the correct quantization levels. | |

*/ | |

int aom_noise_model_get_grain_parameters(aom_noise_model_t *const noise_model, | |

aom_film_grain_t *film_grain); | |

/*!\brief Perform a Wiener filter denoising in 2D using the provided noise psd. | |

* | |

* \param[in] data Raw frame data | |

* \param[out] denoised Denoised frame data | |

* \param[in] w Frame width | |

* \param[in] h Frame height | |

* \param[in] stride Stride of the planes | |

* \param[in] chroma_sub_log2 Chroma subsampling for planes != 0. | |

* \param[in] noise_psd The power spectral density of the noise | |

* \param[in] block_size The size of blocks | |

* \param[in] bit_depth Bit depth of the image | |

* \param[in] use_highbd If true, uint8 pointers are interpreted as | |

* uint16 and stride is measured in uint16. | |

* This must be true when bit_depth >= 10. | |

*/ | |

int aom_wiener_denoise_2d(const uint8_t *const data[3], uint8_t *denoised[3], | |

int w, int h, int stride[3], int chroma_sub_log2[2], | |

float *noise_psd[3], int block_size, int bit_depth, | |

int use_highbd); | |

struct aom_denoise_and_model_t; | |

/*!\brief Denoise the buffer and model the residual noise. | |

* | |

* This is meant to be called sequentially on input frames. The input buffer | |

* is denoised and the residual noise is modelled. The current noise estimate | |

* is populated in film_grain. Returns true on success. The grain.apply_grain | |

* parameter will be true when the input buffer was successfully denoised and | |

* grain was modelled. Returns false on error. | |

* | |

* \param[in] ctx Struct allocated with | |

* aom_denoise_and_model_alloc that holds some | |

* buffers for denoising and the current noise | |

* estimate. | |

* \param[in/out] buf The raw input buffer to be denoised. | |

* \param[out] grain Output film grain parameters | |

* \param[out] apply_denoise Whether or not to apply the denoising to the | |

* frame that will be encoded | |

*/ | |

int aom_denoise_and_model_run(struct aom_denoise_and_model_t *ctx, | |

YV12_BUFFER_CONFIG *buf, aom_film_grain_t *grain, | |

int apply_denoise); | |

/*!\brief Allocates a context that can be used for denoising and noise modeling. | |

* | |

* \param[in] bit_depth Bit depth of buffers this will be run on. | |

* \param[in] block_size Block size for noise modeling and flat block | |

* estimation | |

* \param[in] noise_level The noise_level (2.5 for moderate noise, and 5 for | |

* higher levels of noise) | |

*/ | |

struct aom_denoise_and_model_t *aom_denoise_and_model_alloc(int bit_depth, | |

int block_size, | |

float noise_level); | |

/*!\brief Frees the denoise context allocated with aom_denoise_and_model_alloc | |

*/ | |

void aom_denoise_and_model_free(struct aom_denoise_and_model_t *denoise_model); | |

#ifdef __cplusplus | |

} // extern "C" | |

#endif // __cplusplus | |

#endif // AOM_AOM_DSP_NOISE_MODEL_H_ |