Type 2 <=> One-dimensional Group3, customized for TIFF
Type 3 <=> Two-dimensional Group3, uses the original 1D internally
Type 4 <=> Two-dimensional Group4
So let's clarify that this is not Group3 1D but the TIFF variant, which
is called `CCITTRLE` in libtiff. So let's stick with this name to avoid
confusion.
Images with a display mask ("stencil" as it's called in DPaint) add
an extra bitplane which acts as a mask. For now, at least skip it
properly. Later we should render masked pixels as transparent, but
this requires some refactoring.
We now allow all subsampling factors where the subsampling factors
of follow-on components evenly decode the ones of the first component.
In practice, this allows YCCK 2111, CMYK 2112, and CMYK 2111.
Some apps seem to generate malformed images that are accepted
by most readers. We now only throw if malformed data would lead to
a write outside the chunky buffer.
When using the BMP encoding, ICO images are expected to contain a 1-bit
mask for transparency. Regardless an alpha channel is already included
in the image, the mask is always required. As stated here[1], the
mask is used to provide shadow around the image.
Unfortunately, it seems that some encoder do not include that second
transparency mask. So let's read that mask only if some data is still
remaining after decoding the image.
The test case has been generated by truncating the 64 last bytes
(originally dedicated to the mask) from the `serenity.ico` file and
changing the declared size of the image in the ICO header. The size
value is stored at the offset 0x0E in the file and I changed the value
from 0x0468 to 0x0428.
[1]: https://devblogs.microsoft.com/oldnewthing/20101021-00/?p=12483
This fixes an issue where GIF images without a global color table would
have the first segment incorrectly interpreted as color table data.
Makes many more screenshots appear on https://virtuallyfun.com/ :^)
TIFF files are made in a way that make them easily extendable and over
the years people have made sure to exploit that. In other words, it's
easy to find images with non-standard tags. Instead of returning an
error for that, let's skip them.
Note that we need to make sure to realign the reading head in the file.
The test case was originally a 10x10 checkerboard image with required
tags, and also the `DocumentName` tag. Then, I modified this tag in a
hexadecimal editor and replaced its id with 30 000 (0x3075 as a LE u16)
and the type with the same value as well. This is AFAIK, never used as
a custom TIFF tag, so this should remain an invalid tag id and type.
We currently assume that the K (black) channel uses the same sampling
as the Y channel already, so this already works as long as we don't
error out on it.
TIFF images with the PhotometricInterpretation tag set to RGBPalette are
based on indexed colors instead of explicitly describing the color for
each pixel. Let's add support for them.
The test case was generated with GIMP using the Indexed image mode after
adding an alpha layer. Not all decoders are able to open this image, but
GIMP can.
UnassociatedAlpha is the one used by GIMP when generating TIFF images
with transparency. Support is added for Grayscale and RGB images as it's
the two that we support right now but managing transparency should be
really straightforward for other types as well.
This compression (tag Compression=2) is not very popular on its own, but
a base to implement CCITT3 2D and CCITT4 compressions.
As the format has no real benefits, it is quite hard to find an app that
accepts tho encode that for you. So I used the following program that
calls `libtiff` directly:
```cpp
#include <vector>
#include <cstdlib>
#include <iostream>
#include <tiffio.h>
// An array containing 0 and 1 of length width * height.
extern std::vector<uint8_t> array;
int main() {
// From: https://stackoverflow.com/a/34257789
TIFF *image = TIFFOpen("input.tif", "w");
int const width = 400;
int const height = 300;
TIFFSetField(image, TIFFTAG_IMAGEWIDTH, width);
TIFFSetField(image, TIFFTAG_IMAGELENGTH, height);
TIFFSetField(image, TIFFTAG_PHOTOMETRIC, 0);
TIFFSetField(image, TIFFTAG_COMPRESSION, COMPRESSION_CCITTRLE);
TIFFSetField(image, TIFFTAG_BITSPERSAMPLE, 1);
TIFFSetField(image, TIFFTAG_SAMPLESPERPIXEL, 1);
TIFFSetField(image, TIFFTAG_ROWSPERSTRIP, 1);
std::vector<uint8_t> scan_line(width / 8 + 8, 0);
int count = 0;
for (int i = 0; i < height; i++) {
std::fill(scan_line.begin(), scan_line.end(), 0);
for (int x = 0; x < width; ++x) {
uint8_t eight_pixels = scan_line.at(x / 8);
eight_pixels = eight_pixels << 1;
eight_pixels |= !array.at(i * width + x);
scan_line.at(x / 8) = eight_pixels;
}
int bytes = int(width / 8.0 + 0.5);
if (TIFFWriteScanline(image, scan_line.data(), i, bytes) != 1)
std::cerr << "Something went wrong\n";
}
TIFFClose(image);
}
```
This commit un-deprecates DeprecatedString, and repurposes it as a byte
string.
As the null state has already been removed, there are no other
particularly hairy blockers in repurposing this type as a byte string
(what it _really_ is).
This commit is auto-generated:
$ xs=$(ack -l \bDeprecatedString\b\|deprecated_string AK Userland \
Meta Ports Ladybird Tests Kernel)
$ perl -pie 's/\bDeprecatedString\b/ByteString/g;
s/deprecated_string/byte_string/g' $xs
$ clang-format --style=file -i \
$(git diff --name-only | grep \.cpp\|\.h)
$ gn format $(git ls-files '*.gn' '*.gni')
This change limits the amount of memory that is initially allocated for
the color table. This prevents an OOM condition if the file contains an
incorrect color table size.
Previously, the regression tests for OSS-Fuzz issues 62033 and 63296
used test case files directly from OSS-Fuzz. These files are invalid
in multiple ways because they have been generated by a fuzzer. This
commit replaces these files with ones that only expose the issue being
tested.
The first implementation of this property was just plain wrong. Looks
like this property isn't used a lot as I found the issue by reviewing
the code and not because of a specific image.
The test image is a 32x32 mosaic of alternating black and yellow pixels,
it was generated using this code:
Bitdepth 8
RCT 1
Width 32
Height 32
if W-WW-NW+NWW > -300
- Set -1000
- Set 900
This image is exactly the same as the previous one, excepted the RCT
transformation. It has been generated with:
Width 64
Height 64
RCT 29
Upsample 2
Bitdepth 10
if N > 300
- NE -6
- W 6
This image uses the modular encoding with a very simple prediction tree.
It also makes use of two features: upsampling (x2 factor) and a
non-standard bit depth (10 bits). The file has been generated on
https://jxl-art.surma.technology/ , with the following input:
Width 64
Height 64
Upsample 2
Bitdepth 10
if N > 300
- NE -6
- W 6
Reordering these calls allow us to ensure that all encoders are able to
return the size of the image before they are requested to decode the
whole bitmap.
This tests that we can successfully parse the "everything" TVG files,
which make use of every feature in TinyVG.
Test files taken from https://github.com/TinyVG/examples (MIT).
