Add daltonization correction filters (fixes #3)#4
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The Protanopia/Deuteranopia/Tritanopia filters were colour-blindness *simulation* matrices: they collapse colours onto the confusion axis to show how a deficient observer sees, rather than helping them distinguish colours. Applying them made things worse for the deutan user in #3, while Microsoft's filter (which daltonizes) scored perfectly. Add proper correction filters. The Magnification API only takes a single linear 5x5 matrix, so a LAB LUT (as in daltoLAB) is not usable directly, but daltonization is linear and collapses to one matrix: Correction = I + (I - S) * E where S is the simulation matrix and E redistributes the lost red-green (or blue-yellow) signal onto channels the observer can still perceive. - Transform.cs: add Add/Subtract/Identity/Daltonize helpers - Matrices.cs: add Protanopia/Deuteranopia/TritanopiaCorrection - Program.cs: register the new filters; extend the menu letter list - greys.csproj: bump net6.0 (EOL) -> net8.0-windows Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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The Protanopia/Deuteranopia/Tritanopia filters were colour-blindness simulation matrices: they collapse colours onto the confusion axis to show how a deficient observer sees, rather than helping them distinguish colours. Applying them made things worse for the deutan user in #3, while Microsoft's filter (which daltonizes) scored perfectly.
Add proper correction filters. The Magnification API only takes a single linear 5x5 matrix, so a LAB LUT (as in daltoLAB) is not usable directly, but daltonization is linear and collapses to one matrix:
where S is the simulation matrix and E redistributes the lost red-green (or blue-yellow) signal onto channels the observer can still perceive.