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the last word

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

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Archives for 2011

Inkjet printing on Epson, part 1

January 27, 2011 JimK Leave a Comment

I’ve had some e-mail correspondence that suggests something about the Epson inkjet hardware and software: That Epson has, in my words, dumbed down the traditional error diffusion dither algorithm so that it can’t represent detail finer than 720 pixels per inch at 2880 DPI resolution, or finer than 360 pixels per inch at 1440 DPI… [Read More]

Technical, The Last Word

Focusing, part 1

January 23, 2011 JimK 3 Comments

If you’ve read the last four or five posts, it’s probably occurred to you that, in the new high resolution digital image, focusing is a challenge. Indeed; if you want to take full advantage of all the pixels that modern technology can give you, I think focusing is the most problematical operation in photography. It… [Read More]

Technical

Resampling – the mailbag

January 22, 2011 JimK Leave a Comment

I got some perceptive comments about the resampling post, all from the same person. Here’s the first: For starters, two-thirds (not half) of the information in any color image from a Bayer-pattern sensor is fabricated.  Half of the green and three-quarters each of the red and blue pixel values are made up. Absolutely true. My… [Read More]

Technical

Resampling

January 19, 2011 JimK Leave a Comment

Resampling has a bad name among many photographers. Here’s a typical pronouncement,  from here: “I am not going to address resampling here because it degrades an image and has little application in fine art photography. (Resampling is when Photoshop adds pixels to an image.)” Dodgy grammar aside, I strongly disagree. On the artistic level, I… [Read More]

Technical

Output antialiasing

January 16, 2011 JimK Leave a Comment

Let’s review conventional sampling theory. We start with a continuous representation (the real world, as imaged by the lens), filter that to remove spectral components above half the sampling frequency, sample at evenly spaced infinitesimal points, digitize the results, and store them. To reconstruct the input we take the samples, recreate their values and locations,… [Read More]

Technical

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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

  • JimK on Sony 135 STF on GFX-50R, bokeh visuals
  • Manu on Sony 135 STF on GFX-50R, bokeh visuals
  • John Griffin on The 16-Bit Fallacy: Why More Isn’t Always Better in Medium Format Cameras
  • JimK on How Sensor Noise Scales with Exposure Time
  • Štěpán Kaňa on Calculating reach for wildlife photography
  • Štěpán Kaňa on How Sensor Noise Scales with Exposure Time
  • JimK on Calculating reach for wildlife photography
  • Geofrey on Calculating reach for wildlife photography
  • JimK on Calculating reach for wildlife photography
  • Geofrey on Calculating reach for wildlife photography

Archives

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