All the numbers of MAX_MODES have been changed assuming
CONFIG_MULTI_REF. Now correct numbers have been put in for both with and
without the enabling of the experiment MULTI_REF.
Change-Id: I70ffe2f1a89fa572d612dd3d311d3af19fe3a632
Turning on all the other experiments, compared the RD performance
between with and without the use of LAST2_FRAME, on derflr testset,
on Average PSNR:
8-bit: +0.653% (All positive except one,
max: mobile_cif: 2.019%; min: paris_cif: -0.081%)
12-bit HBD: +0.735% (All positive,
max: bridge_far_cif: 2.416%; min: bowing_cif: 0.132%)
Change-Id: Ia0a375667e228c8ba3d2e223abff608206f2f545
This CL introduces a few macros plus code cleaning on the encoding of
the reference frames. Coding performance remains unchanged.
For the encoding of either the compound reference or the single reference
case, since each bit has different contexts, the tree structure may not
be applied to treat the combined bits as one symbol. It is possible we may
explore the sharing of the same context for all the bits to introduce
the use of tree structure for the next step.
Change-Id: I6916ae53c66be1a0b23e6273811c0139515484df
Under the experiment CONFIG_MULTI_REF. Current version shows
LAST2 vs base in nextgen on the testset of derflr:
(1) 8-bit: Average PSNR +0.53%
(worst: students_cif: -0.247%; best: mobile_cif: 1.902%)
(2) 12-bit HBD: Average PSNR +0.63%
(worst: pamphlet_cif: -0.213%, best: mobile_cif: 2.101%)
More tuning on the reference frame context design and default
probs are being conducted. This version does not guarantee to
work with other experiments in nextgen. A separate CL will address
the working with all other experiments.
Change-Id: I7f40d2522517afc26ca389c995bad56989587f65
CONFIG_SR_MODE=1, enable SR mode
USE_POST_F=1, enable SR post filter
SR_USE_MULTI_F=1, enable SR post filter family
Not compatible with other experiments yet
Change-Id: I116f1d898cc2ff7dd114d7379664304907afe0ec
Adds an additional transform in the ext_tx experiment that
is a 2d DST1-DST1 combination.
To enable use --enable-ext-tx --enable-dst1.
This needs to be later extended to combine DST1 with DCT
or ADST.
Change-Id: I6d29f1b778ef8294bcfb6a512a78fc5eda20723b
Limited the prediction extension to 8 pixels at each edge
Fixed a bug in the combination of wedge prediction and supertx
~10% speed up in decoder
derflr: -0.004
derflr+hbd: +0.002
hevcmr: +0.015
Change-Id: I777518896894a612c9704d3de0e7902bf498b0ea
Framework for alternate transforms for inter 32x32 and larger based
on dwt-dct hybrid is implemented.
Further experiments are to be condcuted with different
variations of hybrid dct/dwt or plain dwt, as well as super-resolution
mode.
Change-Id: I9a2bf49ba317e7668002cf1499211d7da6fa14ad
Predict displacement vector with the same logic as NEARESTMV. If no
neighbors are available fall back to the current one block left or up
prediction.
vp9+intrabc+tx_skip+palette: -0.489
vp9+intrabc: -0.771
Change-Id: If67d08b54f1a3b847cf7ab8c7b800c55baa1a86b
Changes to allow high bit depth and palette to be enabled at the
same time by using a 16 bit (instead of 8bit) palette when high
bit depth is enabled and modifying related functions accordingly.
Change-Id: I97d30b4d9338d3a51db02c94bc568eba60a8905d
This patch avoids using tx_size larger than 16x16 in lossless mode.
Big block quantization (32x32 or larger) is not lossless.
Change-Id: I69cd84d4f3fd06d641048d6096da1bfde18ad24e
There are 4 entropy tables to select for initial entropy table,
depending on the frame base q-index. The entropy tables are
trained with derf, yt, and stdhd sets. About 0.2% gain on
the following test sets:
derflr 0.227%
yt 0.277%
stdhd 0.233%
hevclr 0.221%
hevcmr 0.155%
hevchr 0.182%
Change-Id: I3fde846c47fc020e80c814897690b4cda1da569c
Change-Id: I460408372586c823974f945ed9fd8dcb0360fbaf
For the combination of this and removing NEWDV from the tree:
derflr: -0.101 screen_content: +0.053
The bulk of the decline in screen content effecincy is from the liquify
clip. These should be recoverable by further entropy tweaks.
Change-Id: I9d80152b8492e60a0367c31797fb6932fb09bba9
The wavelets implemented are 2/6, 5/3 and 9/7 each with
a lifting based scheme for even block sizes. The 9/7
one is a double implementation currently.
This is to start experiments with:
1. Replacing large transforms (32x32 and 64x64) with wavelets
or wavelet-dct hybrids that can hopefully localize errors better
spatially. (Will also need alternate entropy coder)
2. Super-resolution modes where the higher sub-bands may be
selectively skipped from being conveyed, while a smart
reconstruction recovers the lost frequencies.
The current patch includes two types of 32x32 and 64x64
transforms: one where only wavelets are used, and another
where a single level wavelet decomposition is followed
by a lower resolution dct on the low-low band.
Change-Id: I2d6755c4e6c8ec9386a04633dacbe0de3b0043ec
