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PhotoLucida 2009: the second day

April 24, 2009 JimK Leave a Comment

Today was nowhere near as grueling as yesterday, but there was a lot to do. It started with three reviews back to back. The first one was with a pair of gallery owners with whom I had corresponded about five years ago. I kind of vaguely remembered them, and I showed them the brochure for… [Read More]

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PhotoLucida 2009: the first day

April 23, 2009 JimK Leave a Comment

I’ve just finished the first day of reviews and I’m a bit overwhelmed. Four formal twenty-minute reviews. Three informal ones by official roving reviewers. Uncountable sharing of pictures with other photographers.  A presentation at lunchtime that took precedence over lunch. And that just got me to five o’clock. The day finished with all 160 photographers… [Read More]

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PhotoLucida 2009: getting there

April 22, 2009 JimK Leave a Comment

I’m in Portland, after an 800 mile drive yesterday. Between portfolio cases and brochures (probably way more than I will actually give away), I have an impressive pile of luggage. If I were flying, I would have had to ship things ahead. I checked out my reviewing schedule on the web.  I have a total… [Read More]

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PhotoLucida 2009: glossy or matte?

April 15, 2009 JimK Leave a Comment

This afternoon I grabbed an easel and both stacks—glossy and matte—of the Nighthawks pictures. I set up the easel in a room with lots of diffuse daylight and went through the photographs, comparing the two versions. The first thing I noticed was that I’d gotten the editing right: the images looked quite similar. In fact,… [Read More]

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PhotoLucida 2009: printing the glossies

April 14, 2009 JimK Leave a Comment

While I was printing the matte pictures, I edited the glossy versions. It didn’t take much. Mostly I added a little contrast-enhancing S-curve that strengthened the midtone separation at the expense of the shadows and the highlights. When printed on the higher-Dmax glossy paper, the midtones looked a little dark, so, if the highlights would… [Read More]

The Last Word

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Articles

  • About
    • Patents and papers about color
    • Who am I?
  • Good 35-70 MF lens
  • How to…
    • Backing up photographic images
    • How to change email providers
  • 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 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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