Introduce LogL(uv) encodings

This commit is contained in:
A. Molzer committed 2026-02-14 18:04:07 +01:00
1 parent abf3cc617d
commit 983c5baea0
4 files changed
+667 -3

No files matched your search

+85 -3
View File
@@ -409,11 +409,29 @@ impl Image {
} }
}; };
let mut sample_format = sample_format;
let mut bits_per_sample = bits_per_sample[0];
// These compression methods only work for specific sample types. They pack each pixel into
// a pixel format. And when we decompress them we run an inverse transform inside the
// decompression step because that makes sense. (Even for 'raw' data you will not be able
// to handle the samples well otherwise). All we are doing is setting up the internal
// buffer here. There's an additional transform before the color readout as yo will receive
// the color as 32-bit floats (the encoding relies on very specific quantization so
// everything else would be very lossy).
if let CompressionMethod::SgiLog = compression_method {
sample_format = SampleFormat::IEEEFP;
bits_per_sample = 32;
} else if let CompressionMethod::SgiLog24 = compression_method {
sample_format = SampleFormat::IEEEFP;
bits_per_sample = 32;
}
Ok(Image { Ok(Image {
ifd: Some(ifd), ifd: Some(ifd),
width, width,
height, height,
bits_per_sample: bits_per_sample[0], bits_per_sample,
samples, samples,
extra_samples, extra_samples,
photometric_samples, photometric_samples,
@@ -523,6 +541,46 @@ impl Image {
vec![self.bits_per_sample; self.samples as usize], vec![self.bits_per_sample; self.samples as usize],
), ),
)), )),
PhotometricInterpretation::CIELogL => match self.samples {
1 if matches!(self.bits_per_sample, 32)
&& matches!(self.sample_format, SampleFormat::IEEEFP) =>
{
// We do this transform internally while reading.
Ok(ColorType::Gray(32))
}
_ => Err(TiffError::UnsupportedError(
TiffUnsupportedError::InterpretationWithBits(
self.photometric_interpretation,
vec![self.bits_per_sample; self.samples as usize],
),
)),
},
PhotometricInterpretation::CIELogLuv => match self.samples {
// Only fully supported for the compression format `SGILog`/`SGILog24` which must
// be used with 16-bit per sample.
//
// It's actually an interesting point what we should output here. Note that in
// libtiff there is a RAW mode (a single unsigned sample per pixel) as well as a
// 32-bit floating point mode for XYZ data. The `Lu'v'` variant is a heavily
// customized quantization so we should not return it directly. The format itself
// describes being based off `xyY` so that may make sense but there is a pole in
// the relation to `XYZ` (at y=0) which is absent in the chosen quantization since
// we assume a bias of `.5` so `v >= 1/820` and thus `y >= 0.49/820` in practice.
// Also we lose a bit of accuracy with just 16-bit precision.
//
// In `libtiff` data is always transformed through XYZ. So let's do that.
3 if matches!(self.bits_per_sample, 32)
&& matches!(self.sample_format, SampleFormat::IEEEFP) =>
{
Ok(ColorType::RGB(32))
}
_ => Err(TiffError::UnsupportedError(
TiffUnsupportedError::InterpretationWithBits(
self.photometric_interpretation,
vec![self.bits_per_sample; self.samples as usize],
),
)),
},
// Unsupported due to extra unfiltering and conversion steps. We need to find the // Unsupported due to extra unfiltering and conversion steps. We need to find the
// Decode tag (SRATIONAL; 2 * SamplesPerPixel) and apply the following conversion: // Decode tag (SRATIONAL; 2 * SamplesPerPixel) and apply the following conversion:
// //
@@ -554,11 +612,35 @@ impl Image {
compressed_length: u64, compressed_length: u64,
// FIXME: these should be `expect` attributes or we choose another way of passing them. // FIXME: these should be `expect` attributes or we choose another way of passing them.
#[cfg_attr(not(feature = "jpeg"), allow(unused_variables))] jpeg_tables: Option<&[u8]>, #[cfg_attr(not(feature = "jpeg"), allow(unused_variables))] jpeg_tables: Option<&[u8]>,
#[cfg_attr(not(feature = "fax"), allow(unused_variables))] dimensions: (u32, u32), dimensions: (u32, u32),
#[cfg_attr(not(feature = "webp"), allow(unused_variables))] samples: u16, samples: u16,
) -> TiffResult<Box<dyn Read + 'r>> { ) -> TiffResult<Box<dyn Read + 'r>> {
Ok(match compression_method { Ok(match compression_method {
CompressionMethod::None => Box::new(reader), CompressionMethod::None => Box::new(reader),
CompressionMethod::SgiLog => match samples {
1 => Box::new(super::logluv::LogLuv16::new(
reader,
compressed_length,
dimensions.0,
)?),
3 => Box::new(super::logluv::LogLuv32::new(
reader,
compressed_length,
dimensions.0,
)?),
_ => {
return Err(TiffError::UnsupportedError(
TiffUnsupportedError::UnsupportedCompressionMethod(
CompressionMethod::SgiLog,
),
))
}
},
CompressionMethod::SgiLog24 => Box::new(super::logluv::LogLuv24::new(
reader,
compressed_length,
dimensions.0,
)?),
#[cfg(feature = "lzw")] #[cfg(feature = "lzw")]
CompressionMethod::LZW => Box::new(super::stream::LZWReader::new( CompressionMethod::LZW => Box::new(super::stream::LZWReader::new(
reader, reader,
+541
View File
@@ -0,0 +1,541 @@
use std::io::{Read, Take};
use crate::TiffError;
pub struct LogLuv24<R> {
reader: Take<R>,
/// The required buffer size. We only decompressed all samples at once.
chunk_sz: usize,
}
impl<R> LogLuv24<R> {
pub fn new(reader: R, n: u64, npixels: u32) -> Result<Self, TiffError>
where
R: Read,
{
let chunk_sz = usize::try_from(
u64::from(npixels)
.checked_mul(4 * 3)
.ok_or(TiffError::LimitsExceeded)?,
)?;
let reader = reader.take(n);
Ok(LogLuv24 { reader, chunk_sz })
}
fn expand_buf(buf: &mut [u8]) {
let data_len = buf.len() / 4;
for i in (0..data_len / 3).rev() {
let ch = buf.as_chunks_mut::<3>().0[i];
let [a, b, c] = ch.map(u32::from);
let raw = a << 16 | b << 8 | c;
let l = (raw >> 14) & 0x3ff;
let uv = decode_quantized_uv(raw & 0x3fff);
let by = dequantize_24_luma(l);
let (u, v) = dequantize_24(uv);
let s = 1. / (6. * u - 16. * v + 12.);
let x = 9. * u * s;
let y = 4. * v * s;
let bx = x / y * by;
let bz = (1. - x - y) / y * by;
let [r, g, b] = xyz_to_rgb([bx, by, bz]);
let into = &mut buf.as_chunks_mut::<12>().0[i];
into[0..4].copy_from_slice(&f32::to_ne_bytes(r));
into[4..8].copy_from_slice(&f32::to_ne_bytes(g));
into[8..12].copy_from_slice(&f32::to_ne_bytes(b));
}
}
}
impl<R: Read> Read for LogLuv24<R> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
self.read_exact(buf)?;
Ok(buf.len())
}
// FIXME: this is the interface we have for compressed chunks but it is not optimal for what we
// want. Note `fill_buf` is not super helpful since it does not guarantee any size of the
// filled buffer but we need 24-bits at a time. Two code paths is even more awkward.
fn read_exact(&mut self, buf: &mut [u8]) -> std::io::Result<()> {
if !buf.len().is_multiple_of(self.chunk_sz) {
return Err(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
format!(
"buffer size {0} must match the chunk size for compression method SGILog24 {1}",
buf.len(),
self.chunk_sz,
),
));
}
let data_len = buf.len() / 4;
self.reader.read_exact(&mut buf[..data_len])?;
Self::expand_buf(buf);
Ok(())
}
}
fn packbits_decode<R: Read, const N: usize>(
reader: &mut R,
buf: &mut [[u8; N]],
) -> std::io::Result<()> {
for offset in (0..N).rev() {
let mut i = 0;
let mut code = [0u8; 1];
loop {
let Some(pixels) = buf.get_mut(i..) else {
break;
};
if pixels.is_empty() {
break;
}
let pixels = pixels.iter_mut();
reader.read_exact(&mut code)?;
let [repeat] = code;
if repeat >= 128 {
reader.read_exact(&mut code)?;
let [value] = code;
let rc = (repeat - 128) + 2;
for (_, px) in (0..rc).zip(pixels) {
px[offset] = value;
}
i += usize::from(rc);
} else {
for (_, px) in (0..repeat).zip(pixels) {
reader.read_exact(&mut code)?;
let [value] = code;
px[offset] = value;
}
i += usize::from(repeat);
}
}
}
Ok(())
}
pub struct LogLuv32<R> {
reader: Take<R>,
/// The required buffer size. We only decompressed all samples at once.
chunk_sz: usize,
}
impl<R: Read> LogLuv32<R> {
pub fn new(reader: R, n: u64, npixels: u32) -> Result<Self, TiffError> {
let chunk_sz = usize::try_from(
u64::from(npixels)
.checked_mul(4 * 3)
.ok_or(TiffError::LimitsExceeded)?,
)?;
let reader = reader.take(n);
Ok(LogLuv32 { reader, chunk_sz })
}
fn decode_rle_row(&mut self, row: &mut [u8]) -> std::io::Result<()>
where
R: Read,
{
// 32-bit per pixel format.
let n_pixels = self.chunk_sz / 12;
// buffer for reading (using only 32-bit per pixel)
let raw = &mut row.as_chunks_mut::<4>().0[..n_pixels];
packbits_decode::<_, 4>(&mut self.reader, raw)?;
Ok(())
}
fn expand_row(row: &mut [u8]) {
let uvscale = 1.0 / 410.0;
let n_pixels = row.len() / 12;
// Work backwards, the 32-bit compressed raw data is at the front of the row buffer and
// this avoids overwriting data before we read it.
for i in (0..n_pixels).rev() {
let raw = row.as_chunks_mut::<4>().0[i];
let l = u16::from(raw[0]) << 8 | u16::from(raw[1]);
let by = log16_to_y(l);
let u = uvscale * (f32::from(raw[2]) + 0.5);
let v = uvscale * (f32::from(raw[3]) + 0.5);
let s = 1. / (6. * u - 16. * v + 12.);
let x = 9. * u * s;
let y = 4. * v * s;
let bx = x / y * by;
let bz = (1. - x - y) / y * by;
let [r, g, b] = xyz_to_rgb([bx, by, bz]);
let into = &mut row.as_chunks_mut::<12>().0[i];
into[0..4].copy_from_slice(&f32::to_ne_bytes(r));
into[4..8].copy_from_slice(&f32::to_ne_bytes(g));
into[8..12].copy_from_slice(&f32::to_ne_bytes(b));
}
}
}
impl<R: Read> Read for LogLuv32<R> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
self.read_exact(buf)?;
Ok(buf.len())
}
// FIXME: See `LogLuv24::read_exact`
fn read_exact(&mut self, buf: &mut [u8]) -> std::io::Result<()> {
for row in buf.chunks_exact_mut(self.chunk_sz) {
self.decode_rle_row(row)?;
Self::expand_row(row);
}
Ok(())
}
}
/// Pack-Bits like encoding for a single 16-bit log-L sample.
pub struct LogLuv16<R> {
reader: Take<R>,
/// The required buffer size. We only decompressed all samples at once.
chunk_sz: usize,
}
impl<R: Read> LogLuv16<R> {
pub fn new(reader: R, n: u64, npixels: u32) -> Result<Self, TiffError> {
let chunk_sz = usize::try_from(
u64::from(npixels)
.checked_mul(4)
.ok_or(TiffError::LimitsExceeded)?,
)?;
let reader = reader.take(n);
Ok(LogLuv16 { reader, chunk_sz })
}
fn decode_rle_row(&mut self, row: &mut [u8]) -> std::io::Result<()>
where
R: Read,
{
// 32-bit per pixel format.
let n_pixels = self.chunk_sz / 4;
// buffer for reading (16-bit per pixel)
let raw = &mut row.as_chunks_mut::<2>().0[..n_pixels];
packbits_decode::<_, 2>(&mut self.reader, raw)?;
Ok(())
}
fn expand_row(row: &mut [u8]) {
let n_pixels = row.len() / 4;
// Work backwards, the 32-bit compressed raw data is at the front of the row buffer and
// this avoids overwriting data before we read it.
for i in (0..n_pixels).rev() {
let raw = row.as_chunks_mut::<2>().0[i];
let l = u16::from(raw[0]) << 8 | u16::from(raw[1]);
let by = log16_to_y(l);
let into = &mut row.as_chunks_mut::<4>().0[i];
into[0..4].copy_from_slice(&f32::to_ne_bytes(by));
}
}
}
impl<R: Read> Read for LogLuv16<R> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
self.read_exact(buf)?;
Ok(buf.len())
}
// FIXME: See `LogLuv24::read_exact`
fn read_exact(&mut self, buf: &mut [u8]) -> std::io::Result<()> {
for row in buf.chunks_exact_mut(self.chunk_sz) {
self.decode_rle_row(row)?;
Self::expand_row(row);
}
Ok(())
}
}
// Table information from: `libtiff`, 1997 by Greg Ward Larson, SGI
#[doc(alias = "UV_SQSIZ")]
const UV_QUANTIZATION_WIDTH: f32 = 0.003500;
// The `v` value corresonding to the bottom most row (quantized v' = 0).
const UV_VSTART: f32 = 0.016940;
/// Number of distinct 'u' rows, each at a different v level. Each is quantized individually with
/// the first quantization level starting at its `ustart` and `UV_QUANTIZATION_WIDTH` wide.
const UV_NVS: usize = 163;
/// Contrary to the original C code we calculate the dependent values (cumulative sum).
struct UvRow {
ustart: f32,
num_us: u16,
}
#[rustfmt::skip]
const UV_ROWS: [UvRow; UV_NVS] = [
UvRow { ustart: 0.247663, num_us: 4, },
UvRow { ustart: 0.243779, num_us: 6, },
UvRow { ustart: 0.241684, num_us: 7, },
UvRow { ustart: 0.237874, num_us: 9, },
UvRow { ustart: 0.235906, num_us: 10, },
UvRow { ustart: 0.232153, num_us: 12, },
UvRow { ustart: 0.228352, num_us: 14, },
UvRow { ustart: 0.226259, num_us: 15, },
UvRow { ustart: 0.222371, num_us: 17, },
UvRow { ustart: 0.220410, num_us: 18, },
UvRow { ustart: 0.214710, num_us: 21, },
UvRow { ustart: 0.212714, num_us: 22, },
UvRow { ustart: 0.210721, num_us: 23, },
UvRow { ustart: 0.204976, num_us: 26, },
UvRow { ustart: 0.202986, num_us: 27, },
UvRow { ustart: 0.199245, num_us: 29, },
UvRow { ustart: 0.195525, num_us: 31, },
UvRow { ustart: 0.193560, num_us: 32, },
UvRow { ustart: 0.189878, num_us: 34, },
UvRow { ustart: 0.186216, num_us: 36, },
UvRow { ustart: 0.186216, num_us: 36, },
UvRow { ustart: 0.182592, num_us: 38, },
UvRow { ustart: 0.179003, num_us: 40, },
UvRow { ustart: 0.175466, num_us: 42, },
UvRow { ustart: 0.172001, num_us: 44, },
UvRow { ustart: 0.172001, num_us: 44, },
UvRow { ustart: 0.168612, num_us: 46, },
UvRow { ustart: 0.168612, num_us: 46, },
UvRow { ustart: 0.163575, num_us: 49, },
UvRow { ustart: 0.158642, num_us: 52, },
UvRow { ustart: 0.158642, num_us: 52, },
UvRow { ustart: 0.158642, num_us: 52, },
UvRow { ustart: 0.153815, num_us: 55, },
UvRow { ustart: 0.153815, num_us: 55, },
UvRow { ustart: 0.149097, num_us: 58, },
UvRow { ustart: 0.149097, num_us: 58, },
UvRow { ustart: 0.142746, num_us: 62, },
UvRow { ustart: 0.142746, num_us: 62, },
UvRow { ustart: 0.142746, num_us: 62, },
UvRow { ustart: 0.138270, num_us: 65, },
UvRow { ustart: 0.138270, num_us: 65, },
UvRow { ustart: 0.138270, num_us: 65, },
UvRow { ustart: 0.132166, num_us: 69, },
UvRow { ustart: 0.132166, num_us: 69, },
UvRow { ustart: 0.126204, num_us: 73, },
UvRow { ustart: 0.126204, num_us: 73, },
UvRow { ustart: 0.126204, num_us: 73, },
UvRow { ustart: 0.120381, num_us: 77, },
UvRow { ustart: 0.120381, num_us: 77, },
UvRow { ustart: 0.120381, num_us: 77, },
UvRow { ustart: 0.120381, num_us: 77, },
UvRow { ustart: 0.112962, num_us: 82, },
UvRow { ustart: 0.112962, num_us: 82, },
UvRow { ustart: 0.112962, num_us: 82, },
UvRow { ustart: 0.107450, num_us: 86, },
UvRow { ustart: 0.107450, num_us: 86, },
UvRow { ustart: 0.107450, num_us: 86, },
UvRow { ustart: 0.107450, num_us: 86, },
UvRow { ustart: 0.100343, num_us: 91, },
UvRow { ustart: 0.100343, num_us: 91, },
UvRow { ustart: 0.100343, num_us: 91, },
UvRow { ustart: 0.095126, num_us: 95, },
UvRow { ustart: 0.095126, num_us: 95, },
UvRow { ustart: 0.095126, num_us: 95, },
UvRow { ustart: 0.095126, num_us: 95, },
UvRow { ustart: 0.088276, num_us: 100, },
UvRow { ustart: 0.088276, num_us: 100, },
UvRow { ustart: 0.088276, num_us: 100, },
UvRow { ustart: 0.088276, num_us: 100, },
UvRow { ustart: 0.081523, num_us: 105, },
UvRow { ustart: 0.081523, num_us: 105, },
UvRow { ustart: 0.081523, num_us: 105, },
UvRow { ustart: 0.081523, num_us: 105, },
UvRow { ustart: 0.074861, num_us: 110, },
UvRow { ustart: 0.074861, num_us: 110, },
UvRow { ustart: 0.074861, num_us: 110, },
UvRow { ustart: 0.074861, num_us: 110, },
UvRow { ustart: 0.068290, num_us: 115, },
UvRow { ustart: 0.068290, num_us: 115, },
UvRow { ustart: 0.068290, num_us: 115, },
UvRow { ustart: 0.068290, num_us: 115, },
UvRow { ustart: 0.063573, num_us: 119, },
UvRow { ustart: 0.063573, num_us: 119, },
UvRow { ustart: 0.063573, num_us: 119, },
UvRow { ustart: 0.063573, num_us: 119, },
UvRow { ustart: 0.057219, num_us: 124, },
UvRow { ustart: 0.057219, num_us: 124, },
UvRow { ustart: 0.057219, num_us: 124, },
UvRow { ustart: 0.057219, num_us: 124, },
UvRow { ustart: 0.050985, num_us: 129, },
UvRow { ustart: 0.050985, num_us: 129, },
UvRow { ustart: 0.050985, num_us: 129, },
UvRow { ustart: 0.050985, num_us: 129, },
UvRow { ustart: 0.050985, num_us: 129, },
UvRow { ustart: 0.044859, num_us: 134, },
UvRow { ustart: 0.044859, num_us: 134, },
UvRow { ustart: 0.044859, num_us: 134, },
UvRow { ustart: 0.044859, num_us: 134, },
UvRow { ustart: 0.040571, num_us: 138, },
UvRow { ustart: 0.040571, num_us: 138, },
UvRow { ustart: 0.040571, num_us: 138, },
UvRow { ustart: 0.040571, num_us: 138, },
UvRow { ustart: 0.036339, num_us: 142, },
UvRow { ustart: 0.036339, num_us: 142, },
UvRow { ustart: 0.036339, num_us: 142, },
UvRow { ustart: 0.036339, num_us: 142, },
UvRow { ustart: 0.032139, num_us: 146, },
UvRow { ustart: 0.032139, num_us: 146, },
UvRow { ustart: 0.032139, num_us: 146, },
UvRow { ustart: 0.032139, num_us: 146, },
UvRow { ustart: 0.027947, num_us: 150, },
UvRow { ustart: 0.027947, num_us: 150, },
UvRow { ustart: 0.027947, num_us: 150, },
UvRow { ustart: 0.023739, num_us: 154, },
UvRow { ustart: 0.023739, num_us: 154, },
UvRow { ustart: 0.023739, num_us: 154, },
UvRow { ustart: 0.023739, num_us: 154, },
UvRow { ustart: 0.019504, num_us: 158, },
UvRow { ustart: 0.019504, num_us: 158, },
UvRow { ustart: 0.019504, num_us: 158, },
UvRow { ustart: 0.016976, num_us: 161, },
UvRow { ustart: 0.016976, num_us: 161, },
UvRow { ustart: 0.016976, num_us: 161, },
UvRow { ustart: 0.016976, num_us: 161, },
UvRow { ustart: 0.012639, num_us: 165, },
UvRow { ustart: 0.012639, num_us: 165, },
UvRow { ustart: 0.012639, num_us: 165, },
UvRow { ustart: 0.009991, num_us: 168, },
UvRow { ustart: 0.009991, num_us: 168, },
UvRow { ustart: 0.009991, num_us: 168, },
UvRow { ustart: 0.009016, num_us: 170, },
UvRow { ustart: 0.009016, num_us: 170, },
UvRow { ustart: 0.009016, num_us: 170, },
UvRow { ustart: 0.006217, num_us: 173, },
UvRow { ustart: 0.006217, num_us: 173, },
UvRow { ustart: 0.005097, num_us: 175, },
UvRow { ustart: 0.005097, num_us: 175, },
UvRow { ustart: 0.005097, num_us: 175, },
UvRow { ustart: 0.003909, num_us: 177, },
UvRow { ustart: 0.003909, num_us: 177, },
UvRow { ustart: 0.002340, num_us: 177, },
UvRow { ustart: 0.002389, num_us: 170, },
UvRow { ustart: 0.001068, num_us: 164, },
UvRow { ustart: 0.001653, num_us: 157, },
UvRow { ustart: 0.000717, num_us: 150, },
UvRow { ustart: 0.001614, num_us: 143, },
UvRow { ustart: 0.000270, num_us: 136, },
UvRow { ustart: 0.000484, num_us: 129, },
UvRow { ustart: 0.001103, num_us: 123, },
UvRow { ustart: 0.001242, num_us: 115, },
UvRow { ustart: 0.001188, num_us: 109, },
UvRow { ustart: 0.001011, num_us: 103, },
UvRow { ustart: 0.000709, num_us: 97, },
UvRow { ustart: 0.000301, num_us: 89, },
UvRow { ustart: 0.002416, num_us: 82, },
UvRow { ustart: 0.003251, num_us: 76, },
UvRow { ustart: 0.003246, num_us: 69, },
UvRow { ustart: 0.004141, num_us: 62, },
UvRow { ustart: 0.005963, num_us: 55, },
UvRow { ustart: 0.008839, num_us: 47, },
UvRow { ustart: 0.010490, num_us: 40, },
UvRow { ustart: 0.016994, num_us: 31, },
UvRow { ustart: 0.023659, num_us: 21, },
];
const UV_CUMULATIVE: [u16; UV_NVS] = {
let mut arr = [0u16; UV_NVS];
let mut sum = 0;
let mut i = 0;
while i < UV_NVS {
arr[i] = sum;
sum += UV_ROWS[i].num_us;
i += 1;
}
arr
};
const UV_NDIVS: u16 = UV_CUMULATIVE[UV_NVS - 1] + UV_ROWS[UV_NVS - 1].num_us;
fn decode_quantized_uv(uv: u32) -> (u8, u8) {
if uv >= UV_NDIVS as u32 {
return (0, 0);
}
// Find the start of the row, or the index after that.
let v_index = match UV_CUMULATIVE.binary_search(&(uv as u16)) {
Ok(n) => n,
Err(n) => n - 1,
};
let u_index = uv as u16 - UV_CUMULATIVE[v_index];
(u_index as u8, v_index as u8)
}
fn dequantize_24_luma(l: u32) -> f32 {
if l == 0 {
0.0
} else {
let le = (l & 0x3ff) as f32;
let exponent = ((le / 64.0).floor() as i32) - 24;
let mantissa = le - (exponent as f32 + 24.0) * 64.0;
(mantissa + 64.0) / 64.0 * 2f32.powi(exponent)
}
}
fn dequantize_24((u, v): (u8, u8)) -> (f32, f32) {
let v_f = UV_VSTART + (v as f32) * UV_QUANTIZATION_WIDTH;
let u_row = &UV_ROWS[v as usize];
let u_f = u_row.ustart + (u as f32) * UV_QUANTIZATION_WIDTH;
(u_f, v_f)
}
fn log16_to_y(l: u16) -> f32 {
if l == 0 {
return 0.0;
}
let le = f32::from(l & 0x7fff);
// Y = exp(M_LN2 / 256. * (Le + .5) - M_LN2 * 64.);
let y = (std::f32::consts::LN_2 / 256.0 * (le + 0.5) - std::f32::consts::LN_2 * 64.0).exp();
if l & 0x8000 != 0 {
-y
} else {
y
}
}
fn xyz_to_rgb([l, u, v]: [f32; 3]) -> [f32; 3] {
// XYZ to sRGB primaries at D65
let r = 3.2404542 * l + -1.5371385 * u + -0.4985314 * v;
let g = -0.969266 * l + 1.8760108 * u + 0.0415560 * v;
let b = 0.0556434 * l + -0.2040259 * u + 1.0572252 * v;
[r, g, b]
}
#[test]
fn test_decode_quantized_uv() {
// Test some known values from the original C code.
assert_eq!(decode_quantized_uv(0), (0, 0));
assert_eq!(decode_quantized_uv(3), (3, 0));
assert_eq!(decode_quantized_uv(4), (0, 1));
assert_eq!(decode_quantized_uv(9), (5, 1));
assert_eq!(decode_quantized_uv(16288), (20, 162));
assert_eq!(decode_quantized_uv(16289), (0, 0)); // Out of range
}
+1
View File
@@ -19,6 +19,7 @@ use self::stream::{ByteOrder, EndianReader};
mod cycles; mod cycles;
pub mod ifd; pub mod ifd;
mod image; mod image;
mod logluv;
mod stream; mod stream;
mod tag_reader; mod tag_reader;
+40
View File
@@ -283,6 +283,14 @@ pub enum CompressionMethod(u16) unknown(
// Self-assigned by libtiff // Self-assigned by libtiff
WebP = 0xC351, WebP = 0xC351,
// Self-assigned by libtiff/SGI
// A packbit like scheme on specific 32-bit samples (16 sint luma, 8 sint u,v). Only really
// compatible with PhotometricInterpretation CIELogLuv.
SgiLog = 34676,
// A packbit like scheme on specific 24-bit samples (10 packed bits luma, 14-bit uv index).
// Only really compatible with PhotometricInterpretation CIELogLuv.
SgiLog24 = 34677,
} }
} }
@@ -295,9 +303,41 @@ pub enum PhotometricInterpretation(u16) {
TransparencyMask = 4, TransparencyMask = 4,
CMYK = 5, CMYK = 5,
YCbCr = 6, YCbCr = 6,
/// Biased Lab with all coefficients stored as unsigned integers.
CIELab = 8, CIELab = 8,
IccLab = 9, IccLab = 9,
ItuLab = 10, ItuLab = 10,
/// Logarithmic L* color space,
///
/// see: <https://web.archive.org/web/20250121120358/https://www.anyhere.com/gward/pixformat/tiffluv.html>
/// References: <https://doi.org/10.2352/CIC.1998.6.1.art00046>
///
/// The `uv` coordinates are based on:
///
/// ```text
/// (6*u - 16*v + 12) * (-2x + 12y + 3) = 36
///
/// u' = 4x / ( -2x + 12y + 3 )
/// v' = 9y / ( -2x + 12y + 3 )
/// x = 9u' / (6u' - 16v' + 12)
/// y = 4v' / (6u' - 16v' + 12)
/// ```
///
/// Since `(-2x + 12y + 3) <= 15` it holds `(6u' - 16v' + 12) >= 36/15` for all XYZ colors
/// which makes the back transform to `xyY` well-defined. Also `v' <= 9/15 = 0.6` and also
/// by practical means `u' <= 2/3`.
///
/// The compression format that is supposed to be used with this constrains them as well. It
/// encodes each component as a 16-bit unsigned integer scaled and clamped to a quantization
/// using 256 out of 410 levels or an index into a table based on a quantization to 177 levels
/// each `0.0035` (~1/286) wide and 163 levels of `v` (same quantization width).
///
/// > Larson, G.W., ``Overcoming Gamut and Dynamic Range Limitations in Digital Images,'' Proceedings of the Sixth Color Imaging Conference, November 1998.
CIELogL = 32844,
/// Logarithmic L*u'v' color space,
///
/// See references under [`Self::CIELogL`].
CIELogLuv = 32845,
} }
} }