Feature Request: Perform Edge Enhancement and Histogram Adjustment for Matching only

In the past, I've done a bit of a hacky pre-processing of images by sharpening and auto-contrasting in a tool like XNConvert. I was reminded of this today working with a particularly reticent dataset.

I think it'd be great if we (optionally? I don't think always would hurt, though) pre-processed the input images for feature matching/extraction only, to help stitch datasets with contrast/exposure/sharpness issues, and maybe even net some better matching/extraction on good data, as well!

Ideally, these would be done non-destructively (in memory on the fly? cached on disk?) for the matching, and once matching is completed, the originally submitted images would be passed to the pipeline to colorize the point cloud and generate the orthophoto and textured models.

Start by tracing ODM's image feature-matching and extraction pipeline to identify where optional sharpening and auto-contrast could be applied without modifying source images. Define the matching-only path and verify that the original inputs remain available for point-cloud colorization, orthophotos, and textured models; completion should include coverage for both enabled and disabled preprocessing.