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

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Archives for September 2014

Noise reduction with nonlinear tools and downsampling

September 30, 2014 JimK 1 Comment

In the last half-dozen posts, I’ve explored the noise reduction effects and quality of the results from six or seven different downsampling methods. From doing that work, I’ve concluded that there are several choices for someone with a small-pixel camera to produce images that have similar noise characteristics as those made with a large-pixel camera,… [Read More]

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Noise performance of downsampling with eliptical weighted averaging

September 29, 2014 JimK Leave a Comment

Over on the Luminous Landscape forum, Nicolas Robidoux, Bart van der Wolf, Alan Gibson, and others have been working on developing downsampling algorithms. They’re using the command-line image editor ImageMagick as the engine to do the work, so their methodology is to write scripts that call ImageMagick. Some of their algorithms are producing impressive results,… [Read More]

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Comparing downsampling algorithms, Fuji still life

September 28, 2014 JimK 4 Comments

This is the fourth in a series of posts showing images that have been downsampled using several different algorithms Photoshop’s bilinear interpolation Ps bicubic sharper Lightroom export with no sharpening Lr export with Low, Standard, and High sharpening for glossy paper A complicated filter based on Elliptical Weighted Averaging (EWA), performed at two gammas and… [Read More]

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Comparing downsampling algorithm noise performance

September 27, 2014 JimK 1 Comment

In previous posts, we’ve seen numerical results of how various downsampling algorithms deal with Gaussian noise. Now it’s time to look at some pictures. The algorithms are: Photoshop’s bilinear interpolation Ps bicubic sharper Lightroom export with no sharpening Lr export with Low, Standard, and High sharpening for glossy paper A complicated filter based on Elliptical… [Read More]

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Comparing Downsampling algorithms — Lindbloom’s desk

September 26, 2014 JimK Leave a Comment

This is the second in a series of posts showing images that have been downsampled using several different algorithms Photoshop’s bilinear interpolation Ps bicubic sharper Lightroom export with no sharpening Lr export with Low, Standard, and High sharpening for glossy paper A complicated filter based on Elliptical Weighted Averaging (EWA), performed at two gammas and… [Read More]

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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
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    • Printable Siemens Star targets
    • Target size on sensor
      • MFT
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      • Full frame
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    • 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
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  • 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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  • JimK on How Sensor Noise Scales with Exposure Time
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