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-rw-r--r--third_party/aom/aom_dsp/noise_util.c221
1 files changed, 0 insertions, 221 deletions
diff --git a/third_party/aom/aom_dsp/noise_util.c b/third_party/aom/aom_dsp/noise_util.c
deleted file mode 100644
index 87e8e9fec..000000000
--- a/third_party/aom/aom_dsp/noise_util.c
+++ /dev/null
@@ -1,221 +0,0 @@
-/*
- * 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.
- */
-
-#include <math.h>
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <string.h>
-
-#include "aom_dsp/noise_util.h"
-#include "aom_dsp/fft_common.h"
-#include "aom_mem/aom_mem.h"
-#include "config/aom_dsp_rtcd.h"
-
-float aom_noise_psd_get_default_value(int block_size, float factor) {
- return (factor * factor / 10000) * block_size * block_size / 8;
-}
-
-// Internal representation of noise transform. It keeps track of the
-// transformed data and a temporary working buffer to use during the
-// transform.
-struct aom_noise_tx_t {
- float *tx_block;
- float *temp;
- int block_size;
- void (*fft)(const float *, float *, float *);
- void (*ifft)(const float *, float *, float *);
-};
-
-struct aom_noise_tx_t *aom_noise_tx_malloc(int block_size) {
- struct aom_noise_tx_t *noise_tx =
- (struct aom_noise_tx_t *)aom_malloc(sizeof(struct aom_noise_tx_t));
- if (!noise_tx) return NULL;
- memset(noise_tx, 0, sizeof(*noise_tx));
- switch (block_size) {
- case 2:
- noise_tx->fft = aom_fft2x2_float;
- noise_tx->ifft = aom_ifft2x2_float;
- break;
- case 4:
- noise_tx->fft = aom_fft4x4_float;
- noise_tx->ifft = aom_ifft4x4_float;
- break;
- case 8:
- noise_tx->fft = aom_fft8x8_float;
- noise_tx->ifft = aom_ifft8x8_float;
- break;
- case 16:
- noise_tx->fft = aom_fft16x16_float;
- noise_tx->ifft = aom_ifft16x16_float;
- break;
- case 32:
- noise_tx->fft = aom_fft32x32_float;
- noise_tx->ifft = aom_ifft32x32_float;
- break;
- default:
- aom_free(noise_tx);
- fprintf(stderr, "Unsupported block size %d\n", block_size);
- return NULL;
- }
- noise_tx->block_size = block_size;
- noise_tx->tx_block = (float *)aom_memalign(
- 32, 2 * sizeof(*noise_tx->tx_block) * block_size * block_size);
- noise_tx->temp = (float *)aom_memalign(
- 32, 2 * sizeof(*noise_tx->temp) * block_size * block_size);
- if (!noise_tx->tx_block || !noise_tx->temp) {
- aom_noise_tx_free(noise_tx);
- return NULL;
- }
- // Clear the buffers up front. Some outputs of the forward transform are
- // real only (the imaginary component will never be touched)
- memset(noise_tx->tx_block, 0,
- 2 * sizeof(*noise_tx->tx_block) * block_size * block_size);
- memset(noise_tx->temp, 0,
- 2 * sizeof(*noise_tx->temp) * block_size * block_size);
- return noise_tx;
-}
-
-void aom_noise_tx_forward(struct aom_noise_tx_t *noise_tx, const float *data) {
- noise_tx->fft(data, noise_tx->temp, noise_tx->tx_block);
-}
-
-void aom_noise_tx_filter(struct aom_noise_tx_t *noise_tx, const float *psd) {
- const int block_size = noise_tx->block_size;
- const float kBeta = 1.1f;
- const float kEps = 1e-6f;
- for (int y = 0; y < block_size; ++y) {
- for (int x = 0; x < block_size; ++x) {
- int i = y * block_size + x;
- float *c = noise_tx->tx_block + 2 * i;
- const float p = c[0] * c[0] + c[1] * c[1];
- if (p > kBeta * psd[i] && p > 1e-6) {
- noise_tx->tx_block[2 * i + 0] *= (p - psd[i]) / AOMMAX(p, kEps);
- noise_tx->tx_block[2 * i + 1] *= (p - psd[i]) / AOMMAX(p, kEps);
- } else {
- noise_tx->tx_block[2 * i + 0] *= (kBeta - 1.0f) / kBeta;
- noise_tx->tx_block[2 * i + 1] *= (kBeta - 1.0f) / kBeta;
- }
- }
- }
-}
-
-void aom_noise_tx_inverse(struct aom_noise_tx_t *noise_tx, float *data) {
- const int n = noise_tx->block_size * noise_tx->block_size;
- noise_tx->ifft(noise_tx->tx_block, noise_tx->temp, data);
- for (int i = 0; i < n; ++i) {
- data[i] /= n;
- }
-}
-
-void aom_noise_tx_add_energy(const struct aom_noise_tx_t *noise_tx,
- float *psd) {
- const int block_size = noise_tx->block_size;
- for (int yb = 0; yb < block_size; ++yb) {
- for (int xb = 0; xb <= block_size / 2; ++xb) {
- float *c = noise_tx->tx_block + 2 * (yb * block_size + xb);
- psd[yb * block_size + xb] += c[0] * c[0] + c[1] * c[1];
- }
- }
-}
-
-void aom_noise_tx_free(struct aom_noise_tx_t *noise_tx) {
- if (!noise_tx) return;
- aom_free(noise_tx->tx_block);
- aom_free(noise_tx->temp);
- aom_free(noise_tx);
-}
-
-double aom_normalized_cross_correlation(const double *a, const double *b,
- int n) {
- double c = 0;
- double a_len = 0;
- double b_len = 0;
- for (int i = 0; i < n; ++i) {
- a_len += a[i] * a[i];
- b_len += b[i] * b[i];
- c += a[i] * b[i];
- }
- return c / (sqrt(a_len) * sqrt(b_len));
-}
-
-int aom_noise_data_validate(const double *data, int w, int h) {
- const double kVarianceThreshold = 2;
- const double kMeanThreshold = 2;
-
- int x = 0, y = 0;
- int ret_value = 1;
- double var = 0, mean = 0;
- double *mean_x, *mean_y, *var_x, *var_y;
-
- // Check that noise variance is not increasing in x or y
- // and that the data is zero mean.
- mean_x = (double *)aom_malloc(sizeof(*mean_x) * w);
- var_x = (double *)aom_malloc(sizeof(*var_x) * w);
- mean_y = (double *)aom_malloc(sizeof(*mean_x) * h);
- var_y = (double *)aom_malloc(sizeof(*var_y) * h);
-
- memset(mean_x, 0, sizeof(*mean_x) * w);
- memset(var_x, 0, sizeof(*var_x) * w);
- memset(mean_y, 0, sizeof(*mean_y) * h);
- memset(var_y, 0, sizeof(*var_y) * h);
-
- for (y = 0; y < h; ++y) {
- for (x = 0; x < w; ++x) {
- const double d = data[y * w + x];
- var_x[x] += d * d;
- var_y[y] += d * d;
- mean_x[x] += d;
- mean_y[y] += d;
- var += d * d;
- mean += d;
- }
- }
- mean /= (w * h);
- var = var / (w * h) - mean * mean;
-
- for (y = 0; y < h; ++y) {
- mean_y[y] /= h;
- var_y[y] = var_y[y] / h - mean_y[y] * mean_y[y];
- if (fabs(var_y[y] - var) >= kVarianceThreshold) {
- fprintf(stderr, "Variance distance too large %f %f\n", var_y[y], var);
- ret_value = 0;
- break;
- }
- if (fabs(mean_y[y] - mean) >= kMeanThreshold) {
- fprintf(stderr, "Mean distance too large %f %f\n", mean_y[y], mean);
- ret_value = 0;
- break;
- }
- }
-
- for (x = 0; x < w; ++x) {
- mean_x[x] /= w;
- var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x];
- if (fabs(var_x[x] - var) >= kVarianceThreshold) {
- fprintf(stderr, "Variance distance too large %f %f\n", var_x[x], var);
- ret_value = 0;
- break;
- }
- if (fabs(mean_x[x] - mean) >= kMeanThreshold) {
- fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean);
- ret_value = 0;
- break;
- }
- }
-
- aom_free(mean_x);
- aom_free(mean_y);
- aom_free(var_x);
- aom_free(var_y);
-
- return ret_value;
-}
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