In an attempt to improve certain aspects of the final resampling and sharpening, it was determined that sharpening in linear space was suboptimal.
Hi Jeff,
I'm afraid that's not universally true, but I assume Eric knows that but also has to deal with complexity trade-offs of the current sharpening dialog (it could use a serious overhaul). Deconvolution makes more sense in a linear gamma space, edge enhancement makes more sense in a gamma pre-compensated space (to reduce differences in acutance on the light side and the dark side of the edges/lines), and it would benefit from a possibility to target lighter, medium, and darker tones because their contrast is different in non-linear gamma space.
I'm not sure when Eric made the change, but there was a certain point where some breakthroughs in Eric's testing lead to the improvements in LR's resampling and sharpening for output.
He probably, amongst others, paid attention to the discussions on the
ImageMagick board and website where it was concluded quite some time ago that
downsampling would benefit from linear gamma space filtering, and
upsampling would perceptually benefit from doing that in non-linear gamma space.
Professor Nicolas Robidoux also did
extensive trials of various methods used by ImageMagick, including temporarily (sigmoidal) contrast adjusted upsampling, especially on the more advanced Elliptical Weighted Averaging (EWA) filtered approaches but also on the tensor based variants of Lanczos windowing.
Cheers,
Bart