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webp-lossless-bitstream-spec: number all sections

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this makes the structure more consistent

Change-Id: Ie6c8b42506be73e565cfc4d39108eb4d8c038003
This commit is contained in:
James Zern 2022-08-02 19:03:51 -07:00
parent 337cf69f58
commit 01d7d378d1
1 changed files with 7 additions and 7 deletions
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14
doc/webp-lossless-bitstream-spec.txt
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@ -229,7 +229,7 @@ depends on the transform type. Next we describe the transform data for
different types.
### Predictor Transform
### 4.1 Predictor Transform
The predictor transform can be used to reduce entropy by exploiting the
fact that neighboring pixels are often correlated. In the predictor
@ -376,7 +376,7 @@ the modes \[0..13\] just like pixels not on the border, but the leftmost pixel
on the same row as the current pixel is instead used as the TR-pixel.
### Color Transform
### 4.2 Color Transform
\[AMENDED2\]
@ -488,7 +488,7 @@ void InverseTransform(uint8 red, uint8 green, uint8 blue,
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### Subtract Green Transform
### 4.3 Subtract Green Transform
The subtract green transform subtracts green values from red and blue
values of each pixel. When this transform is present, the decoder needs
@ -510,7 +510,7 @@ the subtract green transform can be coded using fewer bits than a
full-blown color transform.
### Color Indexing Transform
### 4.4 Color Indexing Transform
If there are not many unique pixel values, it may be more efficient to
create a color index array and replace the pixel values by the array's
@ -1079,7 +1079,7 @@ all details. End-of-image (EOI) is only implicitly coded into the number
of pixels (xsize * ysize).
#### Basic Structure
#### 7.1 Basic Structure
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<format> ::= <RIFF header><image size><image stream>
@ -1087,7 +1087,7 @@ of pixels (xsize * ysize).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#### Structure of Transforms
#### 7.2 Structure of Transforms
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<optional-transform> ::= (1-bit value 1; <transform> <optional-transform>) |
@ -1104,7 +1104,7 @@ of pixels (xsize * ysize).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#### Structure of the Image Data
#### 7.3 Structure of the Image Data
\[AMENDED2\]