[FFmpeg-devel] [RFC] LPCM 24 bits support
Michael Niedermayer
michaelni
Fri Apr 18 15:39:43 CEST 2008
On Thu, Apr 17, 2008 at 10:13:40PM +0200, Lars T?uber wrote:
> On Thu, 17 Apr 2008 22:49:08 +0200 Michael Niedermayer <michaelni at gmx.at> wrote:
> > On Thu, Apr 17, 2008 at 09:10:07PM +0100, M?ns Rullg?rd wrote:
> > > > + for (c=0; c < avctx->channels*2; c++)
> > > > + *samples++ = audio24[c] >> 8;
> > >
> > > What's the point in saving 24 bits per sample to a temporary buffer,
> > > only to discard the low 8 bits later? Also, properly rounding the
> > > values to 16 bits (rather than truncating) might be preferable.
> >
> > truncation is ok, the 0.5 DC error is not something a physically existing
> > object could hear.
> >
> > also trivial rounding like (x+128)>>8 has a problem, namely
> > 0xFFFFFF+128 = 0x100007F
> > and >>8 = 0x10000
>
> Resubmitting with truncation.
[...]
> diff -pur ffmpeg/libavcodec/pcm.c ffmpeg.1/libavcodec/pcm.c
> --- ffmpeg/libavcodec/pcm.c 2008-03-21 13:17:05.000000000 +0100
> +++ ffmpeg.1/libavcodec/pcm.c 2008-04-17 21:46:27.000000000 +0200
> @@ -492,6 +498,31 @@ static int pcm_decode_frame(AVCodecConte
> *samples++ = s->table[*src++];
> }
> break;
> + case CODEC_ID_PCM_DVD: {
> + int audio24[8*2], *ap;
> + const uint8_t *src_LSB;
> +
> + n = buf_size / (avctx->channels * 2 * avctx->bits_per_sample / 8);
Is there something that prevents that from overflowing? If not then this is a
little risky
> + while (n--) {
> + ap = audio24;
> + src_LSB = src + avctx->channels * 2 * 2;
> +
> + if (avctx->bits_per_sample == 20)
> + for (c=0; c < avctx->channels; c++, src+=4, src_LSB++ ) {
> + *ap++ = src[0]<<16 | src[1]<<8 | (*src_LSB & 0xf0);
> + *ap++ = src[2]<<16 | src[3]<<8 | (*src_LSB & 0x0f)<<4;
> + }
Is there something that prevents channels from being larger than 8?
The array should either be sized related to MAX_CHANNELS or channels be
checked against the size of the array.
[...]
--
Michael GnuPG fingerprint: 9FF2128B147EF6730BADF133611EC787040B0FAB
Asymptotically faster algorithms should always be preferred if you have
asymptotical amounts of data
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