| /* |
| * Copyright (c) 2001-2016, 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. |
| */ |
| |
| /* clang-format off */ |
| |
| #ifdef HAVE_CONFIG_H |
| # include "config.h" |
| #endif |
| |
| #include "generic_code.h" |
| |
| void aom_cdf_init_q15_1D(uint16_t *cdf, int nsyms, int cdf_size) { |
| int i; |
| for (i = 0; i < nsyms; i++) |
| cdf[i] = AOM_ICDF((i + 1)*CDF_PROB_TOP/nsyms); |
| |
| cdf[cdf_size - 1] = 0; |
| } |
| |
| /** Adapts a Q15 cdf after encoding/decoding a symbol. */ |
| void aom_cdf_adapt_q15(int val, uint16_t *cdf, int n, int *count, int rate) { |
| int i; |
| *count = OD_MINI(*count + 1, 1 << rate); |
| OD_ASSERT(AOM_ICDF(cdf[n - 1]) == 32768); |
| if (*count >= 1 << rate) { |
| /* Steady-state adaptation based on a simple IIR with dyadic rate. */ |
| for (i = 0; i < n; i++) { |
| int tmp; |
| /* When (i < val), we want the adjustment ((cdf[i] - tmp) >> rate) to be |
| positive so long as (cdf[i] > i + 1), and 0 when (cdf[i] == i + 1), |
| to ensure we don't drive any probabilities to 0. Replacing cdf[i] with |
| (i + 2) and solving ((i + 2 - tmp) >> rate == 1) for tmp produces |
| tmp == i + 2 - (1 << rate). Using this value of tmp with |
| cdf[i] == i + 1 instead gives an adjustment of 0 as desired. |
| |
| When (i >= val), we want ((cdf[i] - tmp) >> rate) to be negative so |
| long as cdf[i] < 32768 - (n - 1 - i), and 0 when |
| cdf[i] == 32768 - (n - 1 - i), again to ensure we don't drive any |
| probabilities to 0. Since right-shifting any negative value is still |
| negative, we can solve (32768 - (n - 1 - i) - tmp == 0) for tmp, |
| producing tmp = 32769 - n + i. Using this value of tmp with smaller |
| values of cdf[i] instead gives negative adjustments, as desired. |
| |
| Combining the two cases gives the expression below. These could be |
| stored in a lookup table indexed by n and rate to avoid the |
| arithmetic. */ |
| tmp = 2 - (1<<rate) + i + (32767 + (1<<rate) - n)*(i >= val); |
| cdf[i] = AOM_ICDF(AOM_ICDF(cdf[i]) - ((AOM_ICDF(cdf[i]) - tmp) >> rate)); |
| } |
| } |
| else { |
| int alpha; |
| /* Initial adaptation for the first symbols. The adaptation rate is |
| computed to be equivalent to what od_{en,de}code_cdf_adapt() does |
| when the initial cdf is set to increment/4. */ |
| alpha = 4*32768/(n + 4**count); |
| for (i = 0; i < n; i++) { |
| int tmp; |
| tmp = (32768 - n)*(i >= val) + i + 1; |
| cdf[i] = AOM_ICDF(AOM_ICDF(cdf[i]) |
| - (((AOM_ICDF(cdf[i]) - tmp)*alpha) >> 15)); |
| } |
| } |
| OD_ASSERT(AOM_ICDF(cdf[n - 1]) == 32768); |
| } |
| |
| /** Takes the base-2 log of E(x) in Q1. |
| * |
| * @param [in] ExQ16 expectation of x in Q16 |
| * |
| * @retval 2*log2(ExQ16/2^16) |
| */ |
| int log_ex(int ex_q16) { |
| int lg; |
| int lg_q1; |
| int odd; |
| lg = OD_ILOG(ex_q16); |
| if (lg < 15) { |
| odd = ex_q16*ex_q16 > 2 << 2*lg; |
| } |
| else { |
| int tmp; |
| tmp = ex_q16 >> (lg - 8); |
| odd = tmp*tmp > (1 << 15); |
| } |
| lg_q1 = OD_MAXI(0, 2*lg - 33 + odd); |
| return lg_q1; |
| } |
| |
| /** Updates the probability model based on the encoded/decoded value |
| * |
| * @param [in,out] model generic prob model |
| * @param [in,out] ExQ16 expectation of x |
| * @param [in] x variable encoded/decoded (used for ExQ16) |
| * @param [in] xs variable x after shift (used for the model) |
| * @param [in] id id of the icdf to adapt |
| * @param [in] integration integration period of ExQ16 (leaky average over |
| * 1<<integration samples) |
| */ |
| void generic_model_update(int *ex_q16, int x, int integration) { |
| /* We could have saturated ExQ16 directly, but this is safe and simpler */ |
| x = OD_MINI(x, 32767); |
| OD_IIR_DIADIC(*ex_q16, x << 16, integration); |
| } |