To account for any cropping and lens or keystone correction potentially applied to the image, we transform the clusteres detected on the embedded jpg thumbnail through the image pipeline, as we do with drawn masks. visually, these are displayed as red clusters (first scale, very sharp) and blue clusters (second scale, not quite as sharp). the second scale is only computed if the first scale (the sharper one) doesn’t yield any results. We do a two-scale decimated cdf 2,2 wavelet transform and use a threshold on the detail coefficients. since different lenses have different sharpness and high-iso might make these numbers noisy, dt uses a slightly different approach. I tried simple edge-detection filters, such as the ones used for in-camera focus detection in the excellent magic lantern firmware. So even if we don’t want to look at the thumbnail, we can extract focus information from it. it’s just different and if nothing else it confuses my perception of colors when looking at the developed raw after that. Now displaying this thumbnail is quite useless (there is a secret backdoor in dt to do it, but i’m not going to talk about it), as the resolution is usually smaller than what you’d get from the raw, highlights will look different, there are differences in color management and basecurves. often there is even a full resolution jpg to be found. full-res embedded thumbnailsĪn average raw file stores quite a lot of thumbnails. we really don’t want to do that for all visible images. so depending on what you did with the image, processing the full-resolution can take seconds if not minutes. If you’re not using the embedded jpg thumbnail or if you have worked on the history stack, these thumbnails are actually processed through our image pipeline. the most you get out of lighttable mode will look like this: To tell whether or not you got the focus right during the shoot, we would like to look at the full resolution. Wouldn’t it be great if you could judge sharpness of your images in lighttable mode? this mode is limited to small and medium sized thumbnails of your images, so we can deliver the required speed to browse a lot of them.
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