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the last word

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

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Archives for January 2016

Macbeth testing exposure effects

January 31, 2016 JimK 1 Comment

This is the 27th in a series of posts on color reproduction. The series starts here. The day before yesterday, I posted a series of analyses of Macbeth ColorChecker images that showed that repeatablility was very good when the lighting, the camera position, and the exposure remained constant. However, we’ve see before in this series… [Read More]

The Last Word

Color reproduction repeatability

January 29, 2016 JimK Leave a Comment

This is the 26th in a series of posts on color reproduction. The series starts here. In discussions on DPR about analyzing Macbeth chart photographs, someone whose opinion I respect raised the issue of repeatability of the results. I thought I’d start with the basics, and made a series of 16 photographs of the chart… [Read More]

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Three way Lab and Luv plots

January 28, 2016 JimK Leave a Comment

This is the 25th in a series of posts on color reproduction. The series starts here. I’ve cleaned up the u’v’ plot from yesterday a bit, and have done CIELab and CIELuv chromaticity representations of the three-way camera/profile/raw developer comparisons. Here they are:     I added the color shadings to the Lab and Luv… [Read More]

The Last Word

Triple Macbeth chromaticity plots

January 27, 2016 JimK 2 Comments

This is the 24nd in a series of posts on color reproduction. The series starts here. I spent most of yesterday and today setting up for chromaticity plots with one reference and two arbitrary profiles, cameras, and/or raw developers. It doesn’t sound like that big of a deal, but it turned out to be the… [Read More]

The Last Word

Macbeth chromaticity plots

January 25, 2016 JimK 1 Comment

This is the 23nd in a series of posts on color reproduction. The series starts here. Yesterday, in what some may see as an exercise prioritizing form over function, I added two chromaticity diagrams to the Matlab code, xy and u’v’. Here are some samples, for Lr Adobe Standard Profile development of a 3200K lit… [Read More]

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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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