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/*
* Copyright (c) 2021, Alliance for Open Media. All rights reserved
*
* This source code is subject to the terms of the BSD 3-Clause Clear License
* and the Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear
* License was not distributed with this source code in the LICENSE file, you
* can obtain it at aomedia.org/license/software-license/bsd-3-c-c/. 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
* aomedia.org/license/patent-license/.
*/
#include <assert.h>
#include "aom_dsp/entdec.h"
#include "aom_dsp/prob.h"
/*A range decoder.
This is an entropy decoder based upon \cite{Mar79}, which is itself a
rediscovery of the FIFO arithmetic code introduced by \cite{Pas76}.
It is very similar to arithmetic encoding, except that encoding is done with
digits in any base, instead of with bits, and so it is faster when using
larger bases (i.e.: a byte).
The author claims an average waste of $\frac{1}{2}\log_b(2b)$ bits, where $b$
is the base, longer than the theoretical optimum, but to my knowledge there
is no published justification for this claim.
This only seems true when using near-infinite precision arithmetic so that
the process is carried out with no rounding errors.
An excellent description of implementation details is available at
http://www.arturocampos.com/ac_range.html
A recent work \cite{MNW98} which proposes several changes to arithmetic
encoding for efficiency actually re-discovers many of the principles
behind range encoding, and presents a good theoretical analysis of them.
End of stream is handled by writing out the smallest number of bits that
ensures that the stream will be correctly decoded regardless of the value of
any subsequent bits.
od_ec_dec_tell() can be used to determine how many bits were needed to decode
all the symbols thus far; other data can be packed in the remaining bits of
the input buffer.
@PHDTHESIS{Pas76,
author="Richard Clark Pasco",
title="Source coding algorithms for fast data compression",
school="Dept. of Electrical Engineering, Stanford University",
address="Stanford, CA",
month=May,
year=1976,
URL="http://www.richpasco.org/scaffdc.pdf"
}
@INPROCEEDINGS{Mar79,
author="Martin, G.N.N.",
title="Range encoding: an algorithm for removing redundancy from a digitised
message",
booktitle="Video & Data Recording Conference",
year=1979,
address="Southampton",
month=Jul,
URL="http://www.compressconsult.com/rangecoder/rngcod.pdf.gz"
}
@ARTICLE{MNW98,
author="Alistair Moffat and Radford Neal and Ian H. Witten",
title="Arithmetic Coding Revisited",
journal="{ACM} Transactions on Information Systems",
year=1998,
volume=16,
number=3,
pages="256--294",
month=Jul,
URL="http://researchcommons.waikato.ac.nz/bitstream/handle/10289/78/content.pdf"
}*/
/*Initializes the decoder.
buf: The input buffer to use.
storage: The size in bytes of the input buffer.*/
void od_ec_dec_init(od_ec_dec *dec, const unsigned char *buf,
uint32_t storage) {
dec->buf = buf;
dec->end = buf + storage;
dec->bptr = buf;
dec->dif = ((od_ec_window)1 << (OD_EC_WINDOW_SIZE - 1)) - 1;
dec->rng = 0x8000;
dec->cnt = -15;
dec->tell_offs = dec->cnt + 1;
od_ec_dec_refill(dec);
}
/*Decode a single binary value.
f: The probability that the bit is one, scaled by 32768.
Return: The value decoded (0 or 1).*/
int od_ec_decode_bool_q15(od_ec_dec *dec, unsigned f) {
od_ec_window dif;
od_ec_window vw;
unsigned r;
unsigned r_new;
unsigned v;
int ret;
assert(0 < f);
assert(f < 32768U);
dif = dec->dif;
r = dec->rng;
assert(dif >> (OD_EC_WINDOW_SIZE - 16) < r);
assert(32768U <= r);
v = od_ec_prob_scale(f, r, 0, 2);
vw = (od_ec_window)v << (OD_EC_WINDOW_SIZE - 16);
ret = 1;
r_new = v;
if (dif >= vw) {
r_new = r - v;
dif -= vw;
ret = 0;
}
return od_ec_dec_normalize(dec, dif, r_new, ret);
}
/*Decode a single binary value, with 50/50 probability.
Return: The value decoded (0 or 1).*/
int od_ec_decode_bool_bypass(od_ec_dec *dec) {
return od_ec_decode_literal_bypass(dec, 1);
}
/*Decode a literal of n_bits
n_bits: Number of bits to decode 1..8
Return: The value decoded (0..2^n_bits-1).*/
int od_ec_decode_literal_bypass(od_ec_dec *dec, int n_bits) {
od_ec_window dif;
od_ec_window vw;
unsigned r;
int ret;
dif = dec->dif;
r = dec->rng;
assert((r & 1) == 0);
assert(dif >> (OD_EC_WINDOW_SIZE - 16) < r);
assert(32768U <= r);
assert(0 < n_bits && n_bits <= 32);
vw = (od_ec_window)r << (OD_EC_WINDOW_SIZE - 16);
ret = 0;
for (int bit = 0; bit < n_bits; bit++) {
vw >>= 1;
ret <<= 1;
if (dif >= vw) {
dif -= vw;
} else {
ret |= 1;
}
}
return od_ec_dec_bypass_normalize(dec, dif, n_bits, ret);
}
/*Decode unary-coded symbol.
max_bits: Max number of decoded bits.
Return: The value decoded (0..2^n_bits-1).*/
OD_WARN_UNUSED_RESULT int od_ec_decode_unary_bypass(od_ec_dec *dec,
int max_bits)
OD_ARG_NONNULL(1);
int od_ec_decode_unary_bypass(od_ec_dec *dec, int max_bits) {
if (dec->cnt < max_bits - 1) od_ec_dec_refill(dec);
od_ec_window dif;
od_ec_window vw;
unsigned r;
int ret;
dif = dec->dif;
r = dec->rng;
assert((r & 1) == 0);
assert(dif >> (OD_EC_WINDOW_SIZE - 16) < r);
assert(32768U <= r);
assert((0 < max_bits) && (max_bits <= 32));
vw = (od_ec_window)r << (OD_EC_WINDOW_SIZE - 16);
ret = 0;
int bit;
for (bit = 0; bit < max_bits; bit++) {
vw >>= 1;
if (dif >= vw) {
dif -= vw;
ret++;
} else {
bit++;
break;
}
}
return od_ec_dec_bypass_normalize(dec, dif, bit, ret);
}
/*Decodes a symbol given an inverse cumulative distribution function (CDF)
table in Q15.
icdf: CDF_PROB_TOP minus the CDF, such that symbol s falls in the range
[s > 0 ? (CDF_PROB_TOP - icdf[s - 1]) : 0, CDF_PROB_TOP - icdf[s]).
The values must be monotonically non-increasing, and icdf[nsyms - 1]
must be 0.
nsyms: The number of symbols in the alphabet.
This should be at most 16.
Return: The decoded symbol s.*/
int od_ec_decode_cdf_q15_c(od_ec_dec *dec, const uint16_t *icdf, int nsyms) {
od_ec_window dif;
unsigned r;
unsigned c;
unsigned u;
unsigned v;
int ret;
(void)nsyms;
dif = dec->dif;
r = dec->rng;
assert(dif >> (OD_EC_WINDOW_SIZE - 16) < r);
assert(icdf[nsyms - 1] == OD_ICDF(CDF_PROB_TOP));
assert(32768U <= r);
assert(7 - EC_PROB_SHIFT - CDF_SHIFT >= 0);
c = (unsigned)(dif >> (OD_EC_WINDOW_SIZE - 16));
v = r;
ret = -1;
do {
u = v;
ret++;
v = od_ec_prob_scale(icdf[ret], r, ret, nsyms);
} while (c < v);
assert(v < u);
assert(u <= r);
r = u - v;
dif -= (od_ec_window)v << (OD_EC_WINDOW_SIZE - 16);
return od_ec_dec_normalize(dec, dif, r, ret);
}
/*Returns the number of bits "used" by the decoded symbols so far.
This same number can be computed in either the encoder or the decoder, and is
suitable for making coding decisions.
Return: The number of bits.
This will always be slightly larger than the exact value (e.g., all
rounding error is in the positive direction).*/
int od_ec_dec_tell(const od_ec_dec *dec) {
/*There is a window of bits stored in dec->dif. The difference
(dec->bptr - dec->buf) tells us how many bytes have been read into this
window. The difference (dec->cnt - dec->tell_offs) tells us how many of
the bits in that window remain unconsumed.*/
return (int)((dec->bptr - dec->buf) * 8 - dec->cnt + dec->tell_offs);
}
/*Returns the number of bits "used" by the decoded symbols so far.
This same number can be computed in either the encoder or the decoder, and is
suitable for making coding decisions.
Return: The number of bits scaled by 2**OD_BITRES.
This will always be slightly larger than the exact value (e.g., all
rounding error is in the positive direction).*/
uint64_t od_ec_dec_tell_frac(const od_ec_dec *dec) {
return od_ec_tell_frac(od_ec_dec_tell(dec), dec->rng);
}