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the last word

Photography meets digital computer technology. Photography wins -- most of the time.

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Testing for ETTR, part 15

December 14, 2012 JimK Leave a Comment

Half of me would like to drop this in-camera histogram calibration project, since I’ve gotten it to the point where it works better for me than the Guillermo Luijk’s process, and is good enough for my use with iterations on the final step, but I’ve started down this road and I’m not going to quit… [Read More]

The Last Word

Testing for ETTR, part 14

December 12, 2012 JimK Leave a Comment

R=100, G= 64, B=100 is close, but a bit too blue. I modified the Matlab program to create a target with finer steps: I added the fine-step image as a layer in Photoshop, over the coarse one, and filled the Linear Dodge layer with R=93, G= 0, B=85. Here’s the layer structure: I photographed it,… [Read More]

The Last Word

Testing for ETTR, part 13

December 12, 2012 JimK Leave a Comment

I mounted a 135mm lens on my D4. That’s the longest lens I can use an still get the whole target square in the image. I took a picture of a random magenta square to see how tight the raw histograms would be: The Rawdigger histograms aren’t super tight, but that’s about all I can… [Read More]

The Last Word

Testing for ETTR, part 12

December 12, 2012 JimK Leave a Comment

I’ve been working on ways to reduce the number of iterations required to calibrate a camera using UniWB, while requiring the use of only two programs by a user of this technique: Photoshop and Rawdigger. I first wrote a little Matlab program to generate a 10×10 grid of samples with a constant green value of… [Read More]

The Last Word

Photographing color samples on your monitor

December 11, 2012 JimK Leave a Comment

In the preceding post, the histogram for the D4 had more spread to it than the one for the D800E. It’s not the camera. It’s the lens. The D800E looked at the monitor through a 200mm lens, and the D4 through a 100mm one. It turns out that, with my 30in NEC PA301W monitor, that… [Read More]

The Last Word

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Articles

  • About
    • Patents and papers about color
    • Who am I?
  • How to…
    • Backing up photographic images
    • How to change email providers
    • How to shoot slanted edge images for me
  • Lens screening testing
    • Equipment and Software
    • Examples
      • Bad and OK 200-600 at 600
      • Excellent 180-400 zoom
      • Fair 14-30mm zoom
      • Good 100-200 mm MF zoom
      • Good 100-400 zoom
      • Good 100mm lens on P1 P45+
      • Good 120mm MF lens
      • Good 18mm FF lens
      • Good 24-105 mm FF lens
      • Good 24-70 FF zoom
      • Good 35 mm FF lens
      • Good 35-70 MF lens
      • Good 60 mm lens on IQ3-100
      • Good 63 mm MF lens
      • Good 65 mm FF lens
      • Good 85 mm FF lens
      • Good and bad 25mm FF lenses
      • Good zoom at 24 mm
      • Marginal 18mm lens
      • Marginal 35mm FF lens
      • Mildly problematic 55 mm FF lens
      • OK 16-35mm zoom
      • OK 60mm lens on P1 P45+
      • OK Sony 600mm f/4
      • Pretty good 16-35 FF zoom
      • Pretty good 90mm FF lens
      • Problematic 400 mm FF lens
      • Tilted 20 mm f/1.8 FF lens
      • Tilted 30 mm MF lens
      • Tilted 50 mm FF lens
      • Two 15mm FF lenses
    • Found a problem – now what?
    • Goals for this test
    • Minimum target distances
      • MFT
      • APS-C
      • Full frame
      • Small medium format
    • Printable Siemens Star targets
    • Target size on sensor
      • MFT
      • APS-C
      • Full frame
      • Small medium format
    • Test instructions — postproduction
    • Test instructions — reading the images
    • Test instructions – capture
    • Theory of the test
    • What’s wrong with conventional lens screening?
  • Previsualization heresy
  • Privacy Policy
  • Recommended photographic web sites
  • Using in-camera histograms for ETTR
    • Acknowledgments
    • Why ETTR?
    • Normal in-camera histograms
    • Image processing for in-camera histograms
    • Making the in-camera histogram closely represent the raw histogram
    • Shortcuts to UniWB
    • Preparing for monitor-based UniWB
    • A one-step UniWB procedure
    • The math behind the one-step method
    • Iteration using Newton’s Method

Category List

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