That's my understanding too. Linearization is a one shot deal. If you try linearizing again over a previous linearization, your new lin data will overwrite the old lin data, and you will not have a good linearized profile. I also agree that QTR does an excellent job of linearization and separation of tones. Remember, QTR thinks and works in Lab, so gamma or dot gain based data will look different. If you open a 21 step grayscale in Photoshop (for example in gamma 2.2 grayscale mode) and set your eye droppers to read the actual pixels on the left and Lab on the right, you will see the Lab equivalents of the K values. Evenly spaced grayscale steps don't equate to the same spacing in Lab. For example, 100K is equal to 0L, but 95K is not 5L, it is 1L. So, in Lab terms, there isn't much separation between these two steps. If that is what you are seeing, then it may be that you are working in a gamma or dotgain based working space. Try working in Roy's Lab Grayscale space and see if that makes a difference. Lou --- In QuadtoneRIP@yahoogroups.com, Howard Shaw <glassman@...> wrote: > > Olivier wrote: > > When using Linearize-Data figures in the Curve Creator table, the > > curves get "re-shaped" so that the output gets more linear. > > Yet at times, the linearity remains debatable. > > > > Clearing the Linearization Table after, and inputting the readings of > > the already-once linearized stepwedge should work as an iterative > > linearization since the curve are built with the first linearization > > and the second linearization should refine the output. Right or wrong ? > > > I'm pretty sure that's wrong. The curves won't "remember" the old > linearisation - they will just be remade with the new one as if that was > the original. > > I've always found the linearisation process to be uncannily accurate. I > don't know what calculations are being done but it works very well. It > helps to have reasonably accurate curve set up in the first place. I > wouldn't do the linearisation until I had got all the stepwedge points > within about 10% of where they should be. > > Howard >
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Re: Iterative linearization
2008-01-16 by Louis Dina
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