• site home
  • blog home
  • galleries
  • contact
  • underwater
  • the bleeding edge

the last word

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

You are here: Home / The Last Word / Bridging the CoC/MTF50 gap

Bridging the CoC/MTF50 gap

June 4, 2016 JimK Leave a Comment

This is a continuation of a report on new ways to look at depth of field. The series starts here:

A new way to look at depth of field

Some people think of blur in terms of CoC, others (like myself) in terms of MTF50. Is there a way to bridge the divide?

Indeed there is.

Translating between the two requires agreeing on some sensor characteristics. Let’s make it full frame, with a Bayer CFA. Let’s standardize on AHD for the demosaicing. Let’s say there’s no AA filter which makes the chip sharper than otherwise, and that there’s a 100% fill factor, which makes the chip softer than otherwise. Let’s look at a few different pixel pitches, starting with 4.5 um, which is the pitch of the Sony a7RII sensor, and getting coarser.

Now let’s look at the MTF50 readings we get when we project perfect circles of light of varying sizes on our simulated sensor.

MTF50 vs CoC

The vertical axis is MTF50 in cycles per picture height. The horizontal axis is the diameter of the CoC in micrometers. The curves identified in the bottom legend are pitches in micrometers.

You can see that the pitch doesn’t make much difference if the CoCs are large, but makes more and more difference as they get smaller.

So now you can go back and forth between an MTF50 value and its equivalent CoC. Let me emphasize that the CoC accounts for lens blur from all aberrations, diffraction, defocusing, camera motion blur, and any other kind of blur that affects the image hitting the sensor. In real life, all these blurs wouldn’t be modeled with a circular kernel (pillbox to image techies), but they are here.

Example: what’s the equivalent CoC diameter for a MTF50 of 1800 cy/ph (about the best we saw with our simulated lens in the previous couple of posts) on a Sony a7RII?  About 8 um.

Here’s a set of similar curves, only with a beam-splitting antialiasing filter added with zeros at about 0.7 cycles per pixel in each direction:

MTF50 vs CoC AA

You can see that, even at 4.5 um pitch, very small CoCs eventually have reduced effect at increasing MTF50. However, note that the minimum CoC in the above plot is 1 um!

I had a series of questions on this post. I’ll try to answer them here.

The light-blue (top) curve is appropriate for the Sony a7RII?

That’s right. The a7RII has a 4.5 um pitch. Check. The a7RII has BSI and microlenses, so 100 fill factor makes sense. Check. The a7RII has a Bayer CFA. Check.

The few small changes in the sign of the second derivative of the curves—is that due to stochastic integration, your rounding before graphing, or something else?

It’s a combination of errors in the slanted edge software (I’m using sfrmat3),and inadequate scaling between the pre-sensor domain and sensor-sampled image data (I used a factor of 32 for this set of curves, which means there are about 1000 points of pre-sensor-sampling data for every sampled point; when is used a scaling factor of 16, the curves were rougher).

Would you be willing to offer intuition for the reason that these results vary by sensor pitch?

For small CoCs, finer sampling offers higher resolution. For big fiat CoCs, not so much. No matter how much resolution you give a blurry image field, you get a blurry result.

Why not extend the curves further to the left?

We get too close to the Nyquist frequency if we do that. MTF50s near Nyquist are not photographically useful, as they are too prone to aliasing and false color, and they’re hard to measure accurately with the slanted edge method.

How are you defining CoC for an electronic camera?  I mean, for a film camera, we define CoC by assuming perfect film.  But for an electronic camera, what are we making perfect (if anything) for the definition of CoC?

The CoC in the above graph is of the image as it appears on the microlens assembly/CFA over the sensor,. I’m considering any blur introduced by the cover glass in the sensor stack to be part of the lens. Sampled image sharpness is impacted by the Bayer CFA and fill factor.

Actually, I’m even more confused about the role of a Bayer array.  How does that affect CoC?

The CoC is measured just above the CFA/microlens assembly, and just under the IR-absorbing glass in the sensor stack..

Are you assuming white light, perhaps?

D65 light, and a D65 CFA. Diffraction is calculated at three discrete wavelengths, though.

Now I would imagine that smaller CoCs at the image plane are better (i.e., more desirable) regardless of sensor pitch.  Do you agree?

There are many schools of thought on that, depending on how the person arguing for method A values sharpness versus freedom from aliasing. In space-based earth imaging systems for example, the have a concept of image Q which balances the two. You can read about it here. In those systems, it is common to sample more finely with respect to lens resolution than we do in our cameras today.

The Last Word

← Hyperfocal distance MTF50 at small CoCs DOF at portrait distances →

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

May 2025
S M T W T F S
 123
45678910
11121314151617
18192021222324
25262728293031
« Apr    

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 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
  • Javier Sanchez on The 16-Bit Fallacy: Why More Isn’t Always Better in Medium Format Cameras
  • Mike MacDonald on Your photograph looks like a painting?
  • Mike MacDonald on Your photograph looks like a painting?

Archives

Copyright © 2025 · Daily Dish Pro On Genesis Framework · WordPress · Log in

Unless otherwise noted, all images copyright Jim Kasson.