blob: a4e1d1d59b54dd93028d932d9dcc87a9f99b7af0 [file] [log] [blame]
 /*Daala video codec Copyright (c) 2001-2013 Daala project contributors. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.*/ #ifdef HAVE_CONFIG_H #include "./config.h" #endif #include "aom_dsp/entdec.h" #if OD_ACCOUNTING #include "./accounting.h" #endif /*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" }*/ #if OD_ACCOUNTING #define od_ec_dec_normalize(dec, dif, rng, ret, str) \ od_ec_dec_normalize_(dec, dif, rng, ret, str) static void od_process_accounting(od_ec_dec *dec, char *str) { if (dec->acct != NULL) { uint32_t tell; tell = od_ec_dec_tell_frac(dec); OD_ASSERT(tell >= dec->acct->last_tell); od_accounting_record(dec->acct, str, tell - dec->acct->last_tell); dec->acct->last_tell = tell; } } #else #define od_ec_dec_normalize(dec, dif, rng, ret, str) \ od_ec_dec_normalize_(dec, dif, rng, ret) #endif /*This is meant to be a large, positive constant that can still be efficiently loaded as an immediate (on platforms like ARM, for example). Even relatively modest values like 100 would work fine.*/ #define OD_EC_LOTS_OF_BITS (0x4000) static void od_ec_dec_refill(od_ec_dec *dec) { int s; od_ec_window dif; int16_t cnt; const unsigned char *bptr; const unsigned char *end; dif = dec->dif; cnt = dec->cnt; bptr = dec->bptr; end = dec->end; s = OD_EC_WINDOW_SIZE - 9 - (cnt + 15); for (; s >= 0 && bptr < end; s -= 8, bptr++) { OD_ASSERT(s <= OD_EC_WINDOW_SIZE - 8); dif |= (od_ec_window)bptr[0] << s; cnt += 8; } if (bptr >= end) { dec->tell_offs += OD_EC_LOTS_OF_BITS - cnt; cnt = OD_EC_LOTS_OF_BITS; } dec->dif = dif; dec->cnt = cnt; dec->bptr = bptr; } /*Takes updated dif and range values, renormalizes them so that 32768 <= rng < 65536 (reading more bytes from the stream into dif if necessary), and stores them back in the decoder context. dif: The new value of dif. rng: The new value of the range. ret: The value to return. Return: ret. This allows the compiler to jump to this function via a tail-call.*/ static int od_ec_dec_normalize_(od_ec_dec *dec, od_ec_window dif, unsigned rng, int ret OD_ACC_STR) { int d; OD_ASSERT(rng <= 65535U); d = 16 - OD_ILOG_NZ(rng); dec->cnt -= d; dec->dif = dif << d; dec->rng = rng << d; if (dec->cnt < 0) od_ec_dec_refill(dec); #if OD_ACCOUNTING od_process_accounting(dec, acc_str); #endif return ret; } /*Initializes the decoder. buf: The input buffer to use. Return: 0 on success, or a negative value on error.*/ void od_ec_dec_init(od_ec_dec *dec, const unsigned char *buf, uint32_t storage) { dec->buf = buf; dec->eptr = buf + storage; dec->end_window = 0; dec->nend_bits = 0; dec->tell_offs = 10 - (OD_EC_WINDOW_SIZE - 8); dec->end = buf + storage; dec->bptr = buf; dec->dif = 0; dec->rng = 0x8000; dec->cnt = -15; dec->error = 0; od_ec_dec_refill(dec); #if OD_ACCOUNTING dec->acct = NULL; #endif } /*Decode a bit that has an fz/ft probability of being a zero. fz: The probability that the bit is zero, scaled by _ft. ft: The total probability. This must be at least 16384 and no more than 32768. Return: The value decoded (0 or 1).*/ int od_ec_decode_bool_(od_ec_dec *dec, unsigned fz, unsigned ft OD_ACC_STR) { od_ec_window dif; od_ec_window vw; unsigned r; int s; unsigned v; int ret; OD_ASSERT(0 < fz); OD_ASSERT(fz < ft); OD_ASSERT(16384 <= ft); OD_ASSERT(ft <= 32768U); dif = dec->dif; r = dec->rng; OD_ASSERT(dif >> (OD_EC_WINDOW_SIZE - 16) < r); OD_ASSERT(ft <= r); s = r - ft >= ft; ft <<= s; fz <<= s; OD_ASSERT(r - ft < ft); #if OD_EC_REDUCED_OVERHEAD { unsigned d; unsigned e; d = r - ft; e = OD_SUBSATU(2 * d, ft); v = fz + OD_MINI(fz, e) + OD_MINI(OD_SUBSATU(fz, e) >> 1, d); } #else v = fz + OD_MINI(fz, r - ft); #endif vw = (od_ec_window)v << (OD_EC_WINDOW_SIZE - 16); ret = dif >= vw; if (ret) dif -= vw; r = ret ? r - v : v; return od_ec_dec_normalize(dec, dif, r, ret, acc_str); } /*Decode a bit that has an fz probability of being a zero in Q15. This is a simpler, lower overhead version of od_ec_decode_bool() for use when ft == 32768. To be decoded properly by this function, symbols cannot have been encoded by od_ec_encode(), but must have been encoded with one of the equivalent _q15() or _dyadic() functions instead. fz: The probability that the bit is zero, scaled by 32768. Return: The value decoded (0 or 1).*/ int od_ec_decode_bool_q15_(od_ec_dec *dec, unsigned fz OD_ACC_STR) { od_ec_window dif; od_ec_window vw; unsigned r; unsigned v; int ret; OD_ASSERT(0 < fz); OD_ASSERT(fz < 32768U); dif = dec->dif; r = dec->rng; OD_ASSERT(dif >> (OD_EC_WINDOW_SIZE - 16) < r); OD_ASSERT(32768U <= r); v = fz * (uint32_t)r >> 15; vw = (od_ec_window)v << (OD_EC_WINDOW_SIZE - 16); ret = dif >= vw; if (ret) dif -= vw; r = ret ? r - v : v; return od_ec_dec_normalize(dec, dif, r, ret, acc_str); } /*Decodes a symbol given a cumulative distribution function (CDF) table. cdf: The CDF, such that symbol s falls in the range [s > 0 ? cdf[s - 1] : 0, cdf[s]). The values must be monotonically non-increasing, and cdf[nsyms - 1] must be at least 16384, and no more than 32768. nsyms: The number of symbols in the alphabet. This should be at most 16. Return: The decoded symbol s.*/ int od_ec_decode_cdf_(od_ec_dec *dec, const uint16_t *cdf, int nsyms OD_ACC_STR) { od_ec_window dif; unsigned r; unsigned c; unsigned d; #if OD_EC_REDUCED_OVERHEAD unsigned e; #endif int s; unsigned u; unsigned v; unsigned q; unsigned fl; unsigned fh; unsigned ft; int ret; dif = dec->dif; r = dec->rng; OD_ASSERT(dif >> (OD_EC_WINDOW_SIZE - 16) < r); OD_ASSERT(nsyms > 0); ft = cdf[nsyms - 1]; OD_ASSERT(16384 <= ft); OD_ASSERT(ft <= 32768U); OD_ASSERT(ft <= r); s = r - ft >= ft; ft <<= s; d = r - ft; OD_ASSERT(d < ft); c = (unsigned)(dif >> (OD_EC_WINDOW_SIZE - 16)); q = OD_MAXI((int)(c >> 1), (int)(c - d)); #if OD_EC_REDUCED_OVERHEAD e = OD_SUBSATU(2 * d, ft); /*The correctness of this inverse partition function is not obvious, but it was checked exhaustively for all possible values of r, ft, and c. TODO: It should be possible to optimize this better than the compiler, given that we do not care about the accuracy of negative results (as we will not use them). It would also be nice to get rid of the 32-bit dividend, as it requires a 32x32->64 bit multiply to invert.*/ q = OD_MAXI((int)q, (int)((2 * (int32_t)c + 1 - (int32_t)e) / 3)); #endif q >>= s; OD_ASSERT(q> s); fl = 0; ret = 0; for (fh = cdf[ret]; fh <= q; fh = cdf[++ret]) fl = fh; OD_ASSERT(fh <= ft >> s); fl <<= s; fh <<= s; #if OD_EC_REDUCED_OVERHEAD u = fl + OD_MINI(fl, e) + OD_MINI(OD_SUBSATU(fl, e) >> 1, d); v = fh + OD_MINI(fh, e) + OD_MINI(OD_SUBSATU(fh, e) >> 1, d); #else u = fl + OD_MINI(fl, d); v = fh + OD_MINI(fh, d); #endif r = v - u; dif -= (od_ec_window)u << (OD_EC_WINDOW_SIZE - 16); return od_ec_dec_normalize(dec, dif, r, ret, acc_str); } /*Decodes a symbol given a cumulative distribution function (CDF) table. cdf: The CDF, such that symbol s falls in the range [s > 0 ? cdf[s - 1] : 0, cdf[s]). The values must be monotonically non-increasing, and cdf[nsyms - 1] must be at least 2, and no more than 32768. nsyms: The number of symbols in the alphabet. This should be at most 16. Return: The decoded symbol s.*/ int od_ec_decode_cdf_unscaled_(od_ec_dec *dec, const uint16_t *cdf, int nsyms OD_ACC_STR) { od_ec_window dif; unsigned r; unsigned c; unsigned d; #if OD_EC_REDUCED_OVERHEAD unsigned e; #endif int s; unsigned u; unsigned v; unsigned q; unsigned fl; unsigned fh; unsigned ft; int ret; dif = dec->dif; r = dec->rng; OD_ASSERT(dif >> (OD_EC_WINDOW_SIZE - 16) < r); OD_ASSERT(nsyms > 0); ft = cdf[nsyms - 1]; OD_ASSERT(2 <= ft); OD_ASSERT(ft <= 32768U); s = 15 - OD_ILOG_NZ(ft - 1); ft <<= s; OD_ASSERT(ft <= r); if (r - ft >= ft) { ft <<= 1; s++; } d = r - ft; OD_ASSERT(d < ft); c = (unsigned)(dif >> (OD_EC_WINDOW_SIZE - 16)); q = OD_MAXI((int)(c >> 1), (int)(c - d)); #if OD_EC_REDUCED_OVERHEAD e = OD_SUBSATU(2 * d, ft); /*TODO: See TODO above.*/ q = OD_MAXI((int)q, (int)((2 * (int32_t)c + 1 - (int32_t)e) / 3)); #endif q >>= s; OD_ASSERT(q> s); fl = 0; ret = 0; for (fh = cdf[ret]; fh <= q; fh = cdf[++ret]) fl = fh; OD_ASSERT(fh <= ft >> s); fl <<= s; fh <<= s; #if OD_EC_REDUCED_OVERHEAD u = fl + OD_MINI(fl, e) + OD_MINI(OD_SUBSATU(fl, e) >> 1, d); v = fh + OD_MINI(fh, e) + OD_MINI(OD_SUBSATU(fh, e) >> 1, d); #else u = fl + OD_MINI(fl, d); v = fh + OD_MINI(fh, d); #endif r = v - u; dif -= (od_ec_window)u << (OD_EC_WINDOW_SIZE - 16); return od_ec_dec_normalize(dec, dif, r, ret, acc_str); } /*Decodes a symbol given a cumulative distribution function (CDF) table that sums to a power of two. This is a simpler, lower overhead version of od_ec_decode_cdf() for use when cdf[nsyms - 1] is a power of two. To be decoded properly by this function, symbols cannot have been encoded by od_ec_encode(), but must have been encoded with one of the equivalent _q15() functions instead. cdf: The CDF, such that symbol s falls in the range [s > 0 ? cdf[s - 1] : 0, cdf[s]). The values must be monotonically non-increasing, and cdf[nsyms - 1] must be exactly 1 << ftb. nsyms: The number of symbols in the alphabet. This should be at most 16. ftb: The number of bits of precision in the cumulative distribution. This must be no more than 15. Return: The decoded symbol s.*/ int od_ec_decode_cdf_unscaled_dyadic_(od_ec_dec *dec, const uint16_t *cdf, int nsyms, unsigned ftb OD_ACC_STR) { od_ec_window dif; unsigned r; unsigned c; unsigned u; unsigned v; int ret; (void)nsyms; dif = dec->dif; r = dec->rng; OD_ASSERT(dif >> (OD_EC_WINDOW_SIZE - 16) < r); OD_ASSERT(ftb <= 15); OD_ASSERT(cdf[nsyms - 1] == 1U << ftb); OD_ASSERT(32768U <= r); c = (unsigned)(dif >> (OD_EC_WINDOW_SIZE - 16)); v = 0; ret = -1; do { u = v; v = cdf[++ret] * (uint32_t)r >> ftb; } while (v <= c); OD_ASSERT(v <= r); r = v - u; dif -= (od_ec_window)u << (OD_EC_WINDOW_SIZE - 16); return od_ec_dec_normalize(dec, dif, r, ret, acc_str); } /*Decodes a symbol given a cumulative distribution function (CDF) table in Q15. This is a simpler, lower overhead version of od_ec_decode_cdf() for use when cdf[nsyms - 1] == 32768. To be decoded properly by this function, symbols cannot have been encoded by od_ec_encode(), but must have been encoded with one of the equivalent _q15() or dyadic() functions instead. cdf: The CDF, such that symbol s falls in the range [s > 0 ? cdf[s - 1] : 0, cdf[s]). The values must be monotonically non-increasing, and cdf[nsyms - 1] must be 32768. 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_(od_ec_dec *dec, const uint16_t *cdf, int nsyms OD_ACC_STR) { return od_ec_decode_cdf_unscaled_dyadic(dec, cdf, nsyms, 15, acc_str); } /*Extracts a raw unsigned integer with a non-power-of-2 range from the stream. The integer must have been encoded with od_ec_enc_uint(). ft: The number of integers that can be decoded (one more than the max). This must be at least 2, and no more than 2**29. Return: The decoded bits.*/ uint32_t od_ec_dec_uint_(od_ec_dec *dec, uint32_t ft OD_ACC_STR) { OD_ASSERT(ft >= 2); OD_ASSERT(ft <= (uint32_t)1 << (25 + OD_EC_UINT_BITS)); if (ft > 1U << OD_EC_UINT_BITS) { uint32_t t; int ft1; int ftb; ft--; ftb = OD_ILOG_NZ(ft) - OD_EC_UINT_BITS; ft1 = (int)(ft >> ftb) + 1; t = od_ec_decode_cdf_q15(dec, OD_UNIFORM_CDF_Q15(ft1), ft1, acc_str); t = t << ftb | od_ec_dec_bits(dec, ftb, acc_str); if (t <= ft) return t; dec->error = 1; return ft; } return od_ec_decode_cdf_q15(dec, OD_UNIFORM_CDF_Q15(ft), (int)ft, acc_str); } /*Extracts a sequence of raw bits from the stream. The bits must have been encoded with od_ec_enc_bits(). ftb: The number of bits to extract. This must be between 0 and 25, inclusive. Return: The decoded bits.*/ uint32_t od_ec_dec_bits_(od_ec_dec *dec, unsigned ftb OD_ACC_STR) { od_ec_window window; int available; uint32_t ret; OD_ASSERT(ftb <= 25); window = dec->end_window; available = dec->nend_bits; if ((unsigned)available < ftb) { const unsigned char *buf; const unsigned char *eptr; buf = dec->buf; eptr = dec->eptr; OD_ASSERT(available <= OD_EC_WINDOW_SIZE - 8); do { if (eptr <= buf) { dec->tell_offs += OD_EC_LOTS_OF_BITS - available; available = OD_EC_LOTS_OF_BITS; break; } window |= (od_ec_window) * --eptr << available; available += 8; } while (available <= OD_EC_WINDOW_SIZE - 8); dec->eptr = eptr; } ret = (uint32_t)window & (((uint32_t)1 << ftb) - 1); window >>= ftb; available -= ftb; dec->end_window = window; dec->nend_bits = available; #if OD_ACCOUNTING od_process_accounting(dec, acc_str); #endif return 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(od_ec_dec *dec) { return ((dec->end - dec->eptr) + (dec->bptr - dec->buf)) * 8 - dec->cnt - dec->nend_bits + 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).*/ uint32_t od_ec_dec_tell_frac(od_ec_dec *dec) { return od_ec_tell_frac(od_ec_dec_tell(dec), dec->rng); }