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the last word

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

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Archives for May 2014

1.12 micrometer sensels are here now

May 16, 2014 JimK Leave a Comment

In the previous few posts I’ve been talking about needing Bayer-CFA’d sensors with pixel pitches approaching one micrometer in order to get everything out of our lenses. I thought I might not live to see that day. It turns you that you can buy those sensors right now. From SK hynix. The part number is… [Read More]

The Last Word

Aliasing with the Otus

May 15, 2014 JimK 1 Comment

There is a trend in the camera marketplace to offer cameras with no antialiasing (AA) filters. None of the medium format camera that I know of use such filters. Recent full frame and APS-C cameras from Leica, Sony and Nikon have also dispensed with AA filters. In the recent posts about Imaging System Q I… [Read More]

The Last Word

Is the Otus diffraction limited?

May 14, 2014 JimK Leave a Comment

With a lens this good, the real question is. “At what f-stops is the lens diffraction-limited.?” I thought I’d try to find out. The motivation is to get some insight into how close real photographic lenses are to being diffraction-limited, and thus learn whether or not the concept of Imaging System Q, which I’ve been… [Read More]

The Last Word

The effect of Q on false color and aliasing

May 13, 2014 JimK Leave a Comment

I processed a reduced-contrast version of the ISO 12233 target, with white point of 200 and black point of 55, through the camera simulator of the last post. To review, here are the specs of the simulated camera. Perfect, diffraction-limited lens set at f/8. 550 nm light used to calculate diffraction, even for the red… [Read More]

The Last Word

The effect of Q on sharpness

May 12, 2014 JimK 4 Comments

In the preceding few posts I explored imaging system Q, a metric for imaging system balancing. It was developed for use with monochromatic sensors and diffraction-limited optics, a luxury not enjoyed by most normal photographers. I explored the extension of the metric to cameras with Bayer color filter arrays (CFAs), with inconclusive results. In order… [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

Recent Comments

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