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#### 12.3 Luma Prediction {#h-12-03}
The prediction processes for the first four 16x16 luma modes (`DC_PRED`, `V_PRED`, `H_PRED`, and `TM_PRED`) are essentially identical to the corresponding chroma prediction processes described above, the only difference being that we are predicting a single 16x16 luma block instead of two 8x8 chroma blocks.
Thus, the row "A" and column "L" here contain 16 pixels, the DC prediction is calculated using 16 or 32 pixels (and shf is 4 or 5), and we of course fill the entire prediction buffer, that is, 16 rows (or columns) containing 16 pixels each. The reference implementation of 16x16 luma prediction is also in `reconintra.c`.
In the remaining luma mode (`B_PRED`), each 4x4 Y subblock is independently predicted using one of ten modes (listed, along with their encodings, in Chapter 11).
Also, unlike the full-macroblock modes already described, some of the subblock modes use prediction pixels above and to the right of the current subblock. In detail, each 4x4 subblock "B" is predicted using (at most) the 4-pixel column "L" immediately to the left of B and the 8-pixel row "A" immediately above B, consisting of the 4 pixels above B followed by the 4 adjacent pixels above and to the right of B, together with the single pixel "P" immediately to the left of A (and immediately above L).
For the purpose of subblock intra-prediction, the pixels immediately to the left and right of a pixel in a subblock are the same as the pixels immediately to the left and right of the corresponding pixel in the frame buffer "F". Vertical offsets behave similarly: The above row A lies immediately above B in F, and the adjacent pixels in the left column L are separated by a single row in F.
Because entire macroblocks (as opposed to their constituent subblocks) are reconstructed in raster-scan order, for subblocks lying along the right edge (and not along the top row) of the current macroblock, the four "extra" prediction pixels in A above and to the right of B have not yet actually been constructed.
Subblocks 7, 11, and 15 are affected. All three of these subblocks use the same extra pixels as does subblock 3 (at the upper right corner of the macroblock), namely the 4 pixels immediately above and to the right of subblock 3. Writing `(R,C)` for a frame buffer position offset from the upper left corner of the current macroblock by R rows and C columns, the extra pixels for all the right-edge subblocks (3, 7, 11, and 15) are at positions (-1,16), (-1,17), (-1,18), and (-1,19). For the right-most macroblock in each macroblock row except the top row, the extra pixels shall use the same value as the pixel at position (-1, 15), which is the right-most visible pixel on the line immediately above the macroblock row. For the top macroblock row, all the extra pixels assume a value of 127.
The details of the prediction modes are most easily described in code.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/* Result pixels are often averages of two or three predictor
pixels. The following subroutines are used to calculate
these averages. Because the arguments are valid pixels, no
clamping is necessary. An actual implementation would
probably use inline functions or macros. */
/* Compute weighted average centered at y w/adjacent x, z */
Pixel avg3( Pixel x, Pixel y, Pixel z) {
return (x + y + y + z + 2) >> 2;}
/* Weighted average of 3 adjacent pixels centered at p */
Pixel avg3p( const Pixel *p) { return avg3( p[-1], p[0], p[1]);}
/* Simple average of x and y */
Pixel avg2( Pixel x, Pixel y) { return (x + y + 1) >> 1;}
/* Average of p[0] and p[1] may be considered to be a synthetic
pixel lying between the two, that is, one half-step past p. */
Pixel avg2p( const Pixel *p) { return avg2( p[0], p[1]);}
void subblock_intra_predict(
Pixel B[4][4], /* Y subblock prediction buffer */
const Pixel *A, /* A[0]...A[7] = above row, A[-1] = P */
const Pixel *L, /* L[0]...L[3] = left column, L[-1] = P */
intra_bmode mode /* enum is in section 11.1 above */
) {
Pixel E[9]; /* 9 already-constructed edge pixels */
E[0] = L[3]; E[1] = L[2]; E[2] = L[1]; E[3] = L[0];
E[4] = A[-1]; /* == L[-1] == P */
E[5] = A[0]; E[6] = A[1]; E[7] = A[2]; E[8] = A[3];
switch( mode) {
/* First four modes are similar to corresponding
full-block modes. */
case B_DC_PRED:
{
int v = 4; /* DC sum/avg, 4 is rounding adjustment */
int i = 0; do { v += A[i] + L[i];} while( ++i < 4);
v >>= 3; /* averaging 8 pixels */
i = 0; do { /* fill prediction buffer with constant DC
value */
int j = 0; do { B[i][j] = v;} while( ++j < 4);
} while( ++i < 4);
break;
}
case B_TM_PRED: /* just like 16x16 TM_PRED */
{
int r = 0; do {
int c = 0; do {
B[r][c] = clamp255( L[r] + A[c] - A[-1]);
} while( ++c < 4);
} while( ++r < 4);
break;
}
case B_VE_PRED: /* like 16x16 V_PRED except using averages */
{
int c = 0; do { /* all 4 rows = smoothed top row */
B[0][c] = B[1][c] = B[2][c] = B[3][c] = avg3p( A + c);
} while( ++c < 4);
break;
}
case B_HE_PRED: /* like 16x16 H_PRED except using averages */
{
/* Bottom row is exceptional because L[4] does not exist */
int v = avg3( L[2], L[3], L[3]);
int r = 3; while( 1) { /* all 4 columns = smoothed left
column */
B[r][0] = B[r][1] = B[r][2] = B[r][3] = v;
if( --r < 0)
break;
v = avg3p( L + r); /* upper 3 rows use average of
3 pixels */
}
break;
}
/* The remaining six "diagonal" modes subdivide the
prediction buffer into diagonal lines. All the pixels
on each line are assigned the same value; this value is
(a smoothed or synthetic version of) an
already-constructed predictor value lying on the same
line. For clarity, in the comments, we express the
positions of these predictor pixels relative to the
upper left corner of the destination array B.
These modes are unique to subblock prediction and have
no full-block analogues. The first two use lines at
+|- 45 degrees from horizontal (or, equivalently,
vertical), that is, lines whose slopes are +|- 1. */
case B_LD_PRED: /* southwest (left and down) step =
(-1, 1) or (1,-1) */
/* avg3p( A + j) is the "smoothed" pixel at (-1,j) */
B[0][0] = avg3p( A + 1);
B[0][1] = B[1][0] = avg3p( A + 2);
B[0][2] = B[1][1] = B[2][0] = avg3p( A + 3);
B[0][3] = B[1][2] = B[2][1] = B[3][0] = avg3p( A + 4);
B[1][3] = B[2][2] = B[3][1] = avg3p( A + 5);
B[2][3] = B[3][2] = avg3p( A + 6);
B[3][3] = avg3( A[6], A[7], A[7]); /* A[8] does not exist */
break;
case B_RD_PRED: /* southeast (right and down) step =
(1,1) or (-1,-1) */
B[3][0] = avg3p( E + 1); /* predictor is from (2, -1) */
B[3][1] = B[2][0] = avg3p( E + 2); /* (1, -1) */
B[3][2] = B[2][1] = B[1][0] = avg3p( E + 3); /* (0, -1) */
B[3][3] = B[2][2] = B[1][1] = B[0][0] =
avg3p( E + 4); /* (-1, -1) */
B[2][3] = B[1][2] = B[0][1] = avg3p( E + 5); /* (-1, 0) */
B[1][3] = B[0][2] = avg3p( E + 6); /* (-1, 1) */
B[0][3] = avg3p( E + 7); /* (-1, 2) */
break;
/* The remaining 4 diagonal modes use lines whose slopes are
+|- 2 and +|- 1/2. The angles of these lines are roughly
+|- 27 degrees from horizontal or vertical.
Unlike the 45 degree diagonals, here we often need to
"synthesize" predictor pixels midway between two actual
predictors using avg2p(p), which we think of as returning
the pixel "at" p[1/2]. */
case B_VR_PRED: /* SSE (vertical right) step =
(2,1) or (-2,-1) */
B[3][0] = avg3p( E + 2); /* predictor is from (1, -1) */
B[2][0] = avg3p( E + 3); /* (0, -1) */
B[3][1] = B[1][0] = avg3p( E + 4); /* (-1, -1) */
B[2][1] = B[0][0] = avg2p( E + 4); /* (-1, -1/2) */
B[3][2] = B[1][1] = avg3p( E + 5); /* (-1, 0) */
B[2][2] = B[0][1] = avg2p( E + 5); /* (-1, 1/2) */
B[3][3] = B[1][2] = avg3p( E + 6); /* (-1, 1) */
B[2][3] = B[0][2] = avg2p( E + 6); /* (-1, 3/2) */
B[1][3] = avg3p( E + 7); /* (-1, 2) */
B[0][3] = avg2p( E + 7); /* (-1, 5/2) */
break;
case B_VL_PRED: /* SSW (vertical left) step =
(2,-1) or (-2,1) */
B[0][0] = avg2p( A); /* predictor is from (-1, 1/2) */
B[1][0] = avg3p( A + 1); /* (-1, 1) */
B[2][0] = B[0][1] = avg2p( A + 1); /* (-1, 3/2) */
B[1][1] = B[3][0] = avg3p( A + 2); /* (-1, 2) */
B[2][1] = B[0][2] = avg2p( A + 2); /* (-1, 5/2) */
B[3][1] = B[1][2] = avg3p( A + 3); /* (-1, 3) */
B[2][2] = B[0][3] = avg2p( A + 3); /* (-1, 7/2) */
B[3][2] = B[1][3] = avg3p( A + 4); /* (-1, 4) */
/* Last two values do not strictly follow the pattern. */
B[2][3] = avg3p( A + 5); /* (-1, 5) [avg2p( A + 4) =
(-1,9/2)] */
B[3][3] = avg3p( A + 6); /* (-1, 6) [avg3p( A + 5) =
(-1,5)] */
break;
case B_HD_PRED: /* ESE (horizontal down) step =
(1,2) or (-1,-2) */
B[3][0] = avg2p( E); /* predictor is from (5/2, -1) */
B[3][1] = avg3p( E + 1); /* (2, -1) */
B[2][0] = B[3][2] = svg2p( E + 1); /* ( 3/2, -1) */
B[2][1] = B[3][3] = avg3p( E + 2); /* ( 1, -1) */
B[2][2] = B[1][0] = avg2p( E + 2); /* ( 1/2, -1) */
B[2][3] = B[1][1] = avg3p( E + 3); /* ( 0, -1) */
B[1][2] = B[0][0] = avg2p( E + 3); /* (-1/2, -1) */
B[1][3] = B[0][1] = avg3p( E + 4); /* ( -1, -1) */
B[0][2] = avg3p( E + 5); /* (-1, 0) */
B[0][3] = avg3p( E + 6); /* (-1, 1) */
break;
case B_HU_PRED: /* ENE (horizontal up) step = (1,-2)
or (-1,2) */
B[0][0] = avg2p( L); /* predictor is from ( 1/2, -1) */
B[0][1] = avg3p( L + 1); /* ( 1, -1) */
B[0][2] = B[1][0] = avg2p( L + 1); /* (3/2, -1) */
B[0][3] = B[1][1] = avg3p( L + 2); /* ( 2, -1) */
B[1][2] = B[2][0] = avg2p( L + 2); /* (5/2, -1) */
B[1][3] = B[2][1] = avg3( L[2], L[3], L[3]); /* ( 3, -1) */
/* Not possible to follow pattern for much of the bottom
row because no (nearby) already-constructed pixels lie
on the diagonals in question. */
B[2][2] = B[2][3] = B[3][0] = B[3][1] = B[3][2] = B[3][3]
= L[3];
}
}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
{:lang="c"}
The reference decoder implementation of subblock intra-prediction may be found
in `reconintra4x4.c`.