Remove the `Numerics.Normalize` wrapper and call `TensorPrimitives.Divide` directly when normalizing resize kernels. This also drops the now-unused normalization test coverage and the redundant benchmark-only `System.Numerics.Tensors` package reference for net10.0.
Replaced ImageSharp’s custom TensorPrimitives_ and several Vector128/256/512 helper fallbacks with direct System.Numerics and System.Numerics.Tensors APIs across color conversion, codecs, filtering, blending, and convolution paths. Removed the obsolete compatibility helper files, updated package references (including System.Numerics.Tensors and newer System.IO.Hashing), and aligned tests with runtime behavior changes such as inverted float clamp bounds now throwing ArgumentException.
Refactors `Color` to track both exposed and stored alpha representations, adds `ToScaledVector4(PixelAlphaRepresentation)`, and adjusts pixel conversion paths so associated formats preserve canonical values without unnecessary unpremultiply/reassociate loss. This also updates equality/hash behavior to compare canonical scaled values.
SIMD helpers are split into `MultiplyAddEstimate` vs `FusedMultiplyAdd`, with byte-to-float normalization updated to match scalar rounding exactly across vector widths. JPEG converters, resize kernels, and Porter-Duff/associated-alpha blending paths were updated to use the appropriate helper for either fast estimate or strict fused rounding semantics. Tests were expanded substantially (including exhaustive component/alpha cases and fused-order checks), incidental test cleanup was applied, benchmark comment snapshots were refreshed, and one black/white reference output image was updated.
Introduce Rgba32P, Bgra32P, Argb32P, Abgr32P, NormalizedByte4P, and HalfVector4P.
Add representation-aware scalar and bulk conversions, optimized pixel operations, and associated-alpha blending across all Porter-Duff modes. Include comprehensive conversion, layout, blending, and performance coverage.