use crate::conversions::katana::KatanaInitialStage;
use crate::conversions::katana::md3x3::MultidimensionalDirection;
use crate::conversions::katana::md4x3::{execute_matrix_stage3, execute_simple_curves3};
use crate::conversions::md_lut::{
MultidimensionalLut, NVector, linear_1i_vec3f, linear_2i_vec3f_direct, linear_3i_vec3f_direct,
linear_4i_vec3f, linear_5i_vec3f, linear_6i_vec3f, linear_7i_vec3f, linear_8i_vec3f,
linear_9i_vec3f, linear_10i_vec3f, linear_11i_vec3f, linear_12i_vec3f, linear_13i_vec3f,
linear_14i_vec3f, linear_15i_vec3f,
};
use crate::safe_math::SafeMul;
use crate::trc::lut_interp_linear_float;
use crate::{
CmsError, DataColorSpace, Layout, LutMultidimensionalType, MalformedSize, Matrix3d, Matrix3f,
PointeeSizeExpressible, TransformOptions, Vector3d, Vector3f,
};
use num_traits::AsPrimitive;
use std::marker::PhantomData;
struct MultidimensionalNx3<
T: Copy + Default + AsPrimitive<f32> + PointeeSizeExpressible + Send + Sync,
> {
a_curves: Option<Vec<Vec<f32>>>,
m_curves: Option<Box<[Vec<f32>; 3]>>,
b_curves: Option<Box<[Vec<f32>; 3]>>,
clut: Option<Vec<f32>>,
matrix: Matrix3f,
bias: Vector3f,
direction: MultidimensionalDirection,
grid_size: [u8; 16],
input_inks: usize,
_phantom: PhantomData<T>,
bit_depth: usize,
}
#[inline(never)]
pub(crate) fn interpolate_out_function(
layout: Layout,
) -> fn(lut: &MultidimensionalLut, arr: &[f32], inputs: &[f32]) -> NVector<f32, 3> {
const OUT: usize = 3;
match layout {
Layout::Rgb => linear_3i_vec3f_direct::<OUT>,
Layout::Rgba => linear_4i_vec3f::<OUT>,
Layout::Gray => linear_1i_vec3f::<OUT>,
Layout::GrayAlpha => linear_2i_vec3f_direct::<OUT>,
Layout::Inks5 | Layout::Cmyka => linear_5i_vec3f::<OUT>,
Layout::Inks6 => linear_6i_vec3f::<OUT>,
Layout::Inks7 => linear_7i_vec3f::<OUT>,
Layout::Inks8 => linear_8i_vec3f::<OUT>,
Layout::Inks9 => linear_9i_vec3f::<OUT>,
Layout::Inks10 => linear_10i_vec3f::<OUT>,
Layout::Inks11 => linear_11i_vec3f::<OUT>,
Layout::Inks12 => linear_12i_vec3f::<OUT>,
Layout::Inks13 => linear_13i_vec3f::<OUT>,
Layout::Inks14 => linear_14i_vec3f::<OUT>,
Layout::Inks15 => linear_15i_vec3f::<OUT>,
}
}
impl<T: Copy + Default + AsPrimitive<f32> + PointeeSizeExpressible + Send + Sync>
MultidimensionalNx3<T>
{
fn to_pcs_impl(&self, input: &[T], dst: &mut [f32]) -> Result<(), CmsError> {
let norm_value = if T::FINITE {
1.0 / ((1u32 << self.bit_depth) - 1) as f32
} else {
1.0
};
assert_eq!(
self.direction,
MultidimensionalDirection::DeviceToPcs,
"PCS to device cannot be used on `to pcs` stage"
);
if let (Some(a_curves), Some(clut)) = (self.a_curves.as_ref(), self.clut.as_ref()) {
let layout = Layout::from_inks(self.input_inks);
let mut inks = vec![0.; self.input_inks];
if clut.is_empty() {
return Err(CmsError::InvalidAtoBLut);
}
let fetcher = interpolate_out_function(layout);
let md_lut = MultidimensionalLut::new(self.grid_size, self.input_inks, 3);
for (src, dst) in input
.chunks_exact(layout.channels())
.zip(dst.chunks_exact_mut(3))
{
for ((ink, src_ink), curve) in inks.iter_mut().zip(src).zip(a_curves.iter()) {
*ink = lut_interp_linear_float(src_ink.as_() * norm_value, curve);
}
let interpolated = fetcher(&md_lut, clut, &inks);
dst[0] = interpolated.v[0];
dst[1] = interpolated.v[1];
dst[2] = interpolated.v[2];
}
} else {
return Err(CmsError::InvalidAtoBLut);
}
if let Some(m_curves) = self.m_curves.as_ref() {
execute_simple_curves3(dst, m_curves);
execute_matrix_stage3(self.matrix, self.bias, dst);
}
if let Some(b_curves) = &self.b_curves.as_ref() {
execute_simple_curves3(dst, b_curves);
}
Ok(())
}
}
impl<T: Copy + Default + AsPrimitive<f32> + PointeeSizeExpressible + Send + Sync>
KatanaInitialStage<f32, T> for MultidimensionalNx3<T>
{
fn to_pcs(&self, input: &[T]) -> Result<Vec<f32>, CmsError> {
if input.len() % self.input_inks != 0 {
return Err(CmsError::LaneMultipleOfChannels);
}
let mut new_dst = vec![0f32; (input.len() / self.input_inks) * 3];
self.to_pcs_impl(input, &mut new_dst)?;
Ok(new_dst)
}
}
fn make_multidimensional_nx3<
T: Copy + Default + AsPrimitive<f32> + PointeeSizeExpressible + Send + Sync,
>(
mab: &LutMultidimensionalType,
_: TransformOptions,
_: DataColorSpace,
direction: MultidimensionalDirection,
bit_depth: usize,
) -> Result<MultidimensionalNx3<T>, CmsError> {
if mab.num_output_channels != 3 {
return Err(CmsError::UnsupportedProfileConnection);
}
if mab.b_curves.is_empty() || mab.b_curves.len() != 3 {
return Err(CmsError::InvalidAtoBLut);
}
let clut: Option<Vec<f32>> =
if mab.a_curves.len() == mab.num_input_channels as usize && mab.clut.is_some() {
let clut = mab.clut.as_ref().map(|x| x.to_clut_f32()).unwrap();
let mut lut_grid = 1usize;
for grid in mab.grid_points.iter().take(mab.num_input_channels as usize) {
lut_grid = lut_grid.safe_mul(*grid as usize)?;
}
let lut_grid = lut_grid.safe_mul(mab.num_output_channels as usize)?;
if clut.len() != lut_grid {
return Err(CmsError::MalformedCurveLutTable(MalformedSize {
size: clut.len(),
expected: lut_grid,
}));
}
Some(clut)
} else {
return Err(CmsError::InvalidAtoBLut);
};
let a_curves: Option<Vec<Vec<f32>>> =
if mab.a_curves.len() == mab.num_input_channels as usize && mab.clut.is_some() {
let mut arr = Vec::new();
for a_curve in mab.a_curves.iter() {
arr.push(a_curve.to_clut()?);
}
Some(arr)
} else {
None
};
let b_curves: Option<Box<[Vec<f32>; 3]>> = if mab.b_curves.len() == 3 {
let mut arr = Box::<[Vec<f32>; 3]>::default();
let all_curves_linear = mab.b_curves.iter().all(|curve| curve.is_linear());
if all_curves_linear {
None
} else {
for (c_curve, dst) in mab.b_curves.iter().zip(arr.iter_mut()) {
*dst = c_curve.to_clut()?;
}
Some(arr)
}
} else {
return Err(CmsError::InvalidAtoBLut);
};
let matrix = mab.matrix.to_f32();
let m_curves: Option<Box<[Vec<f32>; 3]>> = if mab.m_curves.len() == 3 {
let all_curves_linear = mab.m_curves.iter().all(|curve| curve.is_linear());
if !all_curves_linear
|| !mab.matrix.test_equality(Matrix3d::IDENTITY)
|| mab.bias.ne(&Vector3d::default())
{
let mut arr = Box::<[Vec<f32>; 3]>::default();
for (curve, dst) in mab.m_curves.iter().zip(arr.iter_mut()) {
*dst = curve.to_clut()?;
}
Some(arr)
} else {
None
}
} else {
None
};
let bias = mab.bias.cast();
let transform = MultidimensionalNx3::<T> {
a_curves,
b_curves,
m_curves,
matrix,
direction,
clut,
grid_size: mab.grid_points,
bias,
input_inks: mab.num_input_channels as usize,
_phantom: PhantomData,
bit_depth,
};
Ok(transform)
}
pub(crate) fn katana_multi_dimensional_nx3_to_pcs<
T: Copy + Default + AsPrimitive<f32> + PointeeSizeExpressible + Send + Sync,
>(
src_layout: Layout,
mab: &LutMultidimensionalType,
options: TransformOptions,
pcs: DataColorSpace,
bit_depth: usize,
) -> Result<Box<dyn KatanaInitialStage<f32, T> + Send + Sync>, CmsError> {
if pcs == DataColorSpace::Rgb {
if mab.num_input_channels != 3 {
return Err(CmsError::InvalidAtoBLut);
}
if src_layout != Layout::Rgba && src_layout != Layout::Rgb {
return Err(CmsError::InvalidInksCountForProfile);
}
} else if mab.num_input_channels != src_layout.channels() as u8 {
return Err(CmsError::InvalidInksCountForProfile);
}
let transform = make_multidimensional_nx3::<T>(
mab,
options,
pcs,
MultidimensionalDirection::DeviceToPcs,
bit_depth,
)?;
Ok(Box::new(transform))
}