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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 2024

RRS L bracket for GFX 100 II — quick review

January 17, 2024 JimK 2 Comments

I just got mine. Typical high RRS quality. Allen wrench mounts in the base using two clips. If you’re not careful when you pull the Allen wrench out the clips will come with it. Just slide them back in. But do that before you mount the plate to the camera, because you can’t put them… [Read More]

GFX 100 II

Visible noise and CFA filter spectra, part four

January 13, 2024 JimK 4 Comments

A long-time reader commented on the previous post: One aspect of low light performance is low noise under warm lighting. At sub-2700K, many older cameras end up with tremendously large WB multipliers for the blue channel, when compared to “modern” CFAs. I decided to take a look at that. I’ll show you what I found,… [Read More]

The Last Word

Visible noise and CFA filter spectra, part three

January 11, 2024 JimK 2 Comments

I’ll now show you some charts that summarize the material presented in the last two posts, and after that I’ll give you my takeaways. Here’s the SMI for all of the cameras simulated: There are two clear winners here, the XYZ response, and the optimized set of Gaussians. There are five losers: The Leica M8,… [Read More]

The Last Word

Visible noise and CFA filter spectra, part two

January 11, 2024 JimK Leave a Comment

In the preceding post, I looked at the relationship between the spectra of several cameras color filter array mediated spectral response and the noise after the camera raw files are converted to colorimetric ones.  In this post, we’ll look at some abstract responses. The first is 2-degree CIE 1931 XYZ: Top notch SMI, decent noise…. [Read More]

The Last Word

Visible noise and CFA filter spectra, part one

January 11, 2024 JimK 2 Comments

A few years ago, with help from Jack Hogan, I wrote a Matlab program that, given a set of color filter array spectra (to be technical, the spectra of the camera’s response to light passing through each of three color filters), would find the optimum compromise matrix for the Macbeth 24-patch Color Checker (CC24) and… [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

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