add missing description of the alpha filtering methods
Change-Id: Id7bdf5e30121ce5d610b7fa00f64bcd2d7bed2bf
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@ -523,6 +523,42 @@ Filtering method (F): 2 bits
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* `2`: Vertical filter.
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* `3`: Gradient filter.
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For each pixel, filtering is performed using the following calculations.
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Assume the alpha values surrounding the current `X` position are labeled as:
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C | B |
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---+---+
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A | X |
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We seek to compute the alpha value at position `X`. First, a prediction is
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made depending on the filtering method:
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* Method `0`: predictor = 0
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* Method `1`: predictor = A
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* Method `2`: predictor = B
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* Method `3`: predictor = clip(A + B - C)
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where `clip(v)` is equal to:
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* 0 if v < 0
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* 255 if v > 255
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* v otherwise
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The final value is derived by adding the decompressed value `X` to the
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predictor and using modulo-256 arithmetic to wrap the [256-511] range
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into the [0-255] one:
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`alpha = (predictor + X) % 256`
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There are special cases for left-most and top-most pixel positions:
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* Top-left value at location (0,0) uses 0 as predictor value. Otherwise,
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* For horizontal or gradient filtering methods, the left-most pixels at
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location (0, y) are predicted using the location (0, y-1) just above.
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* For vertical or gradient filtering methods, the top-most pixels at
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location (x, 0) are predicted using the location (x-1, 0) on the left.
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Pre-processing (P): 2 bits
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: These INFORMATIVE bits are used to signal the pre-processing that has
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