add missing description of the alpha filtering methods

Change-Id: Id7bdf5e30121ce5d610b7fa00f64bcd2d7bed2bf
This commit is contained in:
Pascal Massimino 2012-07-10 19:50:30 -07:00
parent 63db87dd2a
commit 44a09a3ccd

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@ -523,6 +523,42 @@ Filtering method (F): 2 bits
* `2`: Vertical filter.
* `3`: Gradient filter.
For each pixel, filtering is performed using the following calculations.
Assume the alpha values surrounding the current `X` position are labeled as:
C | B |
---+---+
A | X |
We seek to compute the alpha value at position `X`. First, a prediction is
made depending on the filtering method:
* Method `0`: predictor = 0
* Method `1`: predictor = A
* Method `2`: predictor = B
* Method `3`: predictor = clip(A + B - C)
where `clip(v)` is equal to:
* 0 if v < 0
* 255 if v > 255
* v otherwise
The final value is derived by adding the decompressed value `X` to the
predictor and using modulo-256 arithmetic to wrap the [256-511] range
into the [0-255] one:
`alpha = (predictor + X) % 256`
There are special cases for left-most and top-most pixel positions:
* Top-left value at location (0,0) uses 0 as predictor value. Otherwise,
* For horizontal or gradient filtering methods, the left-most pixels at
location (0, y) are predicted using the location (0, y-1) just above.
* For vertical or gradient filtering methods, the top-most pixels at
location (x, 0) are predicted using the location (x-1, 0) on the left.
Pre-processing (P): 2 bits
: These INFORMATIVE bits are used to signal the pre-processing that has