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the last word

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

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A new way to look at ISOlessness

June 14, 2023 JimK 23 Comments

Note: this post has been revised and corrected based on input from DPRevived and the PS&T forum on DPR. Thanks to all involved. Recently, I wrote two articles for Lensrentals on raw exposure. Part 1 Part 2 One of the takeaways from the articles was, with modern cameras, by far the biggest win associated with… [Read More]

The Last Word

Graffiti composites

June 10, 2023 JimK 1 Comment

About ten years ago, Jack Wasserbach showed me some graffiti-covered abandoned buildings at Fort Ord. I took pictures, but nothing grabbed me when I went over the images in Lightroom. Yesterday I got the idea of doing some composites.              

The Last Word

Specularity, part 2

May 23, 2023 JimK 1 Comment

In the last post, I talked about specularity. If you haven’t read that post, it would enhance your understanding of this one if you took a look at it now. Although I mentioned the light source as a component of specularity, all the examples I posted related to changing the object in front of the… [Read More]

The Last Word

Specularity

May 19, 2023 JimK Leave a Comment

In the last three posts I’ve dealt with photographic subjects that have some degree of specularity. It occurs to me that some readers may not understand the concept well, and if they do understand it, they may not be able to relate the concept to their photography. Hence this post. In general English, specularity is… [Read More]

The Last Word

Histograms, high contrast scene

May 19, 2023 JimK 1 Comment

Here’s the scene, photographed with a Hasselblad X2D, 90mm XCD lens, and developed in Lightroom with default settings. Here’s the raw histogram, log-log presentation: Looks like it’s ETTR, but maybe too conservative. Here’s the raw histogram with a linear y-axis: That makes it look a stop or so underexposed from ETTR. Here’s the in-camera histogram:… [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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Recent Comments

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