• 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 / GFX 100S / Fujifilm GFX 100S pixel shift, visuals

Fujifilm GFX 100S pixel shift, visuals

March 21, 2021 JimK 10 Comments

This is one in a series of posts on the Fujifilm GFX 100S. You should be able to find all the posts about that camera in the Category List on the right sidebar, below the Articles widget. There’s a drop-down menu there that you can use to get to all the posts in this series; just look for “GFX 100S”.

I caused quite a stir with this post, in which I declared that pixel shift doesn’t actually increase resolution, it reduces aliasing. There were many people who objected to the mathematical way that I approached the subject. Since I have a GFX 100S to test, and since it has a new IBIS mechanism, I felt I should test the pixel-shift feature on the camera. I hope to kill two birds with one stone here, and provide a visual demonstration of what I was saying in the earlier pixel-shift post.

I put the 80 mm f/1.7 lens on the GFX 100S, set it to f/4, set the 2-second self timer, put it on a CA head on RRS legs, and aimed it at this scene, which includes a sinusoidal Siemens star (note that this is not the more usual binary Siemens star, which excites more aliasing):

I composited the 16 image stack using Fuji’s Pixel Shift Combiner, which seems to be free of the awful oversharpening of Sony’s equivalent product.

I took the first image in the stack and processed it with Lightroom’s default settings. I white balanced both images to the lower left gray section of the target.

I exported two tight crops at the same resolution, which requires scaling up the normal version to about 200%:

Normal

 

Pixel shifted

Notice that the center of the pixel-shifted star goes gray at about the same place as it does with the normal image. There is no more extinction resolution. However, the middle of the normal image is rife with aliasing, and is improperly reconstructed. There is virtually no aliasing in the pixel-shifted image.

Pixel shifting can be a great thing, if you subject is static — I mean really, really static — and your camera is clamped to a sturdy tripod on solid ground.

GFX 100S

← Fujifilm 80/1.7 bokeh Fujifilm 110/2, 80/1.7 slanted edge testing →

Comments

  1. Max says

    March 21, 2021 at 6:26 pm

    Hallo Jim, thank you for this post.

    In order to reduce aliasing and maybe other artifacts, wouldn’t 4 photos taken in pixel-shift be enough, instead of 16? I mean like the Sony A7R III and IV.

    Reply
    • JimK says

      March 21, 2021 at 6:41 pm

      If you want to reduce false color, 4 is enough. To reduce luminance aliasing, you need more.

      With 4 full-color captures, you’ve got enough to reconstruct the image without demosaicing. With 16 captures, you can take 4 sets of 4 captures that are displaced as follows: base, base + 1/2 pixel in x, base + 1/2 pixel in y, and base + 1/2 pixel in x and y. Each of those captures has about 100% fill factor in its native resolution, so when the 4 image are composited to a result that is twice as large in both dimensions, the fill factor on the result is 400%. That provides the extra AA filtering.

      Reply
  2. Ilya Zakharevich says

    March 22, 2021 at 8:09 pm

    From the top image, I measure that going → 114px from the center,, it is the Nyquist frequency. At the same place on the bottom pixel, pixel values oscillate from ≈180–≈218. Assuming sRGB, this is brightness 51½%–79% of saturation. These are at ±22% of the average ⇒ “contrast”.

    Likewise, the right edge is at 675px of the center, hence the frequency there is 16.9% of Nyquest. Proceeding likewise, pixel values oscillate as ≈112–≈233, which are 18% and 92% of brightness of saturation. These are at ±67% of the average.

    CONCLUSION: assuming no sharpening in the images, the MTF at Nyquist is 22/67 of the MTF at 16.9% of the Nyquist. Taking the latter number from your following posts
     https://blog.kasson.com/the-last-word/fujifilm-110-2-80-1-7-slanted-edge-testing/
    it is close to the diffraction MTF which is close to 90%.

    So the MTF at Nyquist is about 38%. Imatest claims 7.4%. It is your judgement which of these seems more probable…

    Reply
    • Ilya Zakharevich says

      March 22, 2021 at 8:25 pm

      I wrote:
       “… At the same place on the bottom pixel, …”
      It should have been
       At the same place on the bottom image (of 2 crops of the stars),

      ⁜⁜⁜⁜⁜⁜⁜⁜⁜⁜

      Moreover, I have a conjecture about what happens. Will discuss it in that post about slanted edge…

      Reply
  3. Erik Reitan says

    June 13, 2021 at 8:20 am

    Hi, and thanks for the test.
    Do you know if you can combine pixel shift with focus bracketing on the 100s?

    Reply
    • JimK says

      June 13, 2021 at 8:22 am

      You cannot. Each one is a drive mode, and you can only have one drive mode at a time.

      Reply
  4. Cemal Ekin says

    December 28, 2021 at 2:18 pm

    I am curious, does in-camera pixel shifting like Olympus actually resample the refined image to end up with double pixel dimensions? I don’t own or use Olympus, I am just curious.

    Thank you,

    Cemal

    Reply
    • JimK says

      December 28, 2021 at 2:20 pm

      I don’t know anything about how Olympus pixel shifting works.

      Reply
  5. Sarmed Mirza says

    March 26, 2023 at 9:59 am

    Hi
    So if I wanted to make high quality prints of a 2x3inch impasto vibrant coloured oil painting, how large can I make high quality (GICLEE) prints without issues. Can you please help me solve this riddle? I am considering buying the GFX100. Many thanks.

    Reply
    • JimK says

      March 26, 2023 at 10:06 am

      I’m guessing that, with the GFX 100 and the right lens, you’d be limited by the detail in the subject painting, not the reproduction system.

      Reply

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

  • bob lozano on The 16-Bit Fallacy: Why More Isn’t Always Better in Medium Format Cameras
  • JimK on Goldilocks and the three flashes
  • DC Wedding Photographer on Goldilocks and the three flashes
  • Wedding Photographer in DC on The 16-Bit Fallacy: Why More Isn’t Always Better in Medium Format Cameras
  • JimK on Fujifilm GFX 100S II precision
  • Renjie Zhu on Fujifilm GFX 100S II precision
  • JimK on Fuji 20-35/4 landscape field curvature at 23mm vs 23/4 GF
  • Ivo de Man on Fuji 20-35/4 landscape field curvature at 23mm vs 23/4 GF
  • JimK on Fuji 20-35/4 landscape field curvature at 23mm vs 23/4 GF
  • JimK on Fuji 20-35/4 landscape field curvature at 23mm vs 23/4 GF

Archives

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

Unless otherwise noted, all images copyright Jim Kasson.