Preben Soeberg wrote: > Can AdobeRGB expand the camera's gamut? > Can somebody explain what happens? > > timage -t -x -s timage_txs.tif > > Gamut for the camera profile: > tiffgamut -v 6071_F.icc timage_txs.tif > Total volume of gamut is 1062744.608376 cubic colorspace units > Before talking about your particular numbers, IMO the basic question is, what's your understanding of a "camera's gamut"? How do you define the gamut of an _input device_, like a camera or scanner? Please find below a citation from a discussion in the newsgroup sci.engr.color, with a statement from me and Graeme regarding this issue. Regards, Gerhard ------------------------------------------------------------------------ > Gerhard Fuernkranz wrote: > [...] > I basically do not like to use the term "gamut" in conjunction with > input devices like cameras. > > For an output device it's pretty clear: The device/medium can reproduce > only a particular set of XYZ colors (which is a subset of the visual > gamut), and this set is the gamut of the device/medium. > > But how should we actually define the gamut of a camera? Should we > simply define it as the set of colors which the camera can "see"? > > A typical camera has sensor sensitivities, which basically cover the > whole visible spectrum (but they are usually not colorimetric and don't > fulfill the Luther-Ives condition). > > Such a camera will "see" any visible color, and will return _some_ RGB > values for each visible color. The camera may even "see" spectra outside > the human visible range, and return some RGB values for these spectra as > well. > > So the gamut of such a camera would be the full visible gamut (or even > larger), if we would define the gamut simply as the set of colors which > the camera can "see". > > But is this really helpful? IMO it isn't. > > The limitation of a camera is rather not, that it would not "see" some > human-visible colors (as said above, typicaly cameras can basically > "see" more or less all these colors), but the actual limitation is > rather the "color-blindness" of the camera, caused by observer > metamerism. > > This means, we will be able to find pairs of human-visible spectra, > which are metameric from the camera's point of view (i.e. the camera > will "see" the _same_ RGB values for both spectra), although the two > spectra are clearly distinguishable by the human vision as different > colors. > > So eventually the camera cannot distinguish some colors, which humans > _can_ distinguish, and thus it isn't possible to establish an > unambiguous RGB to XYZ mapping for the camera, which would be correct > for arbitrary human visible spectra. Regardless which (linear or > non-linar) RGB to XYZ mapping/characterization we try to establish for > the camera, it will be correct for some spectra, but there will always > exist other spectra, for which the mapping is incorrect :-( > > Thus I have rather no idea, how the actual limitation of a camera to > discriminate colors could be simply described in terms of a "camera > gamut". Just describing the set of colors the camera can "see" is IMO > not sufficient and helpful. > > I could possibly imagine something like: First define a set of all > spectra we intend to capture with the camera, and then define the gamut > as the subset of these spectra, for which a RGB to XYZ mapping with an > error below a given threshold is possible. Of course, according to a > definition like this one, the gamut of many cameras is possibly no > longer so huge (and it will of course depend on the admitted error > threshold and the given set of spectra, which are desired to be captured > with the camera). > > I'm not sure, whether a generally admitted (and useful) definition for > the "gamut of input devices" exists, does it? > ------------------------------------------------------------------------ > Graeme Gill wrote: > [...] > It's a controversial subject. I think your summary was a good one > Gerhard. By a strict definition, no, an input device doesn't have > a gamut. People do use "gamut" and input devices together in a loose > sense through, since they have primary co-ordinates. > > Peter Morovic and Jan Morovic presented a paper "Spectral > discrimination of color input devices" at CIC14 this year, > addresses some of the issues, and they refer to something they call > "device desciminability gamut". > > The following paper "Capture Color Analysis Gamuts" by Jack Holm, > a title that raised mutterings of "input devices don't have > gamuts" amongst some of the attendees :-), actually addressed > the apparent spectrum locus that a camera perceives, and how > this compares to the visible locus. Summary :- a camera may > generate XYZ values outside the visible spectrum locus for > certain spectral input. > > Graeme Gill