![]() The gray insets provide supplementary information and/or detailed comparisons on various features and should be skipped right over unless you really want more information on that particular topic. A red background indicates a reason to exclude a raw processor from further consideration for me (but maybe not for you). In the tables below that compare various raw processor features, a green background means a feature that I consider very important for outputting radiometrically correct images. This review examines raw processor options and output strictly from the point of view of producing radiometrically correct, unenhanced output. Do an internet search on " Luther-Ives condition" for information on this important topic. Tonality can be faithfully captured by a digital camera (within the limits of the camera's dynamic range), but color cannot. In other words, I want the digital equivalent of a "flat print" that is suitable for further (and sometimes extensive) processing.įor reasons beyond the scope of this raw processor review, a true scene-referred image is impossible to achieve in practice, because cameras and camera profiles can't perfectly reproduce what the human eye sees. In my own workflow, almost always I want radiometrically correct, scene-referred output rather than enhanced output. Converting an image to black and white also should be done in a linear gamma working space, before applying any sharpening, tone mapping, and other image enhancing algorithms.Sharpening, tone mapping, and other image enhancing algorithms ideally should be applied after the images have already been combined into one image. Combining multiple exposures into one image - for capturing additional dynamic range detail, or to obtain cleaner shadow areas, or to create a panorama - should be done in a linear gamma working space.Why radiometrically correct, scene-referred output is importantįor many digital darkroom tasks you need radiometrically correct output as your starting point. So in effect the usual raw processor review is more a review of the raw processor's default image enhancing algorithms than its actual capabilities as a raw processor. The problem with this approach is that enhancement algorithms can't be applied until after the raw file has been interpolated. ![]() Compare the resulting interpolated images.Process the raw file(s) using each raw processor's default (i.e.The usual way to compare raw processors is to: This is the reason why all raw processors provide default settings that include image enhancement algorithms: "auto-levels", a tone curve to increase mid-tone contrast, sharpening, highlight recovery, and so forth. Scene-referred output tends to be flat and unappealing. "Radiometrically correct, scene-referred output" means the channel values in the interpolated image are proportional to the amount of light that was recorded in the raw file. The usual raw processor review: enhanced vs radiometrically correct, scene-referred output ![]() Offer some raw file repair options (automatic repair of dead pixel and chromatic aberration, dark frame subtraction, and etc) that my floating point version of dcraw doesn't have. ![]()
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