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

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PhotoLucida 2009: where’s the power?

May 3, 2009 JimK Leave a Comment

Well, there’s really no question. The reviewers have it; the photographers don’t. The clues are everywhere. The reviewers get a free ride; the photographers pay. The reviewers go into the reviewing room at their leisure; the photographers queue up, flatten themselves against the wall, and wait for the signal from the staff person chosen to… [Read More]

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PhotoLucida 2009: dealing with criticism

April 28, 2009 JimK Leave a Comment

I drove back from Portland yesterday. On the way down I had time to think about how to get the most out of critical comments. In my reports on the reviewing process, I made the point several times that there was little consistency in the reviewers’ comments. At the time, I saw that as a… [Read More]

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PhotoLucida 2009: what not to expect from reviewers

April 26, 2009 JimK 2 Comments

Consistency. My first reviewer looked at a picture of a barber shop in the Washington Heights district in Manhattan. It’s a multi-layered image, with a lot going on. She pointed at a bright blue video game in the middle of the frame, and said: “It could be a good image, but that blue box right… [Read More]

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PhotoLucida 2009: the fourth day

April 26, 2009 JimK Leave a Comment

Five reviews today. Two completely positive, and three with suggestions for improvement. I don’t think it would be very entertaining to walk through all of them; you’ve gotten an idea of how they go from the earlier posts. The different shapes of the pictures in Nighthawks came up again. It seems to bother curators. I… [Read More]

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PhotoLucida 2009: the third day

April 25, 2009 JimK Leave a Comment

Five official reviews today. The first one, with the curator for a Mid-Western museum, went incredibly well.  He called Nighthawks “a fresh approach,” and “some of the best of this kind of work he’s seen.” He also wanted to see work from This Green Growing Land, which I’d left at the hotel. I dropped by… [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

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