• 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 / Sloof Lirpa announces high dynamic range camera

Sloof Lirpa announces high dynamic range camera

April 1, 2015 JimK 3 Comments

As is their wont this time of year, the Sloof Lirpa team have produced another blockbuster: this year it’s a camera that provides far greater Engineering Dynamic Range (EDR) than anything on the market today. DxO is currently reporting the best EDRs of a bit over 14 stops. The Sloof Lirpa BigPixel One (BP1) has about 2500 times that EDR in the red and blue raw channels, and even more than that in the green channel! That’s more than 25 stops of engineering dynamic range!

In order to make such a breakthrough, the designers of the BP1 have turned the megapixel wars on their collective head; the BP1 is a full frame (24x36mm) camera, with just one pixel. The sensor has 4000×6000 sensor elements, and a conventional Bayer Color Filter Array (CFA) with 6 million each red and blue pixels, and 12 million green ones. The firmware that creates the raw file averages all the pixels in each of the four channels, then averages the average of the two green channels, and writes the result onto the camera’s flash card, together with the metadata and a preview JPEG image. The data is digitized with 14 bits of precision prior to processing, and the resultant pixel is recorded as 32 bit unsigned integers in order to preserve the incredibly low noise floor.

Base ISO is 100, but the camera allows increasing the ISO setting to 250,000,000 in one-third stop increments. Most of that ISO range is implemented in the raw processing firmware.

Several remarkable improvements in camera operation stem from this design.

  • Reduced raw file sizes. The BP1’s raw files consist mostly of metadata.
  • Effectively infinite buffer. Although the BP1 can operate at up to 10 frames per second, it can write to the flash card at faster than that, so you’ll never fill up the buffer.
  • No anti-aliasing filter, yet no false color.
  • No demosaicing required. All the raw processing program has to do is subtract the black point (supplied in the form of unaveraged masked pixels) and convert to the working color space.
  • Unlimited depth of field. Distance to the subject has virtually no effect on the image.
  • Instant auto-focus. The camera does not wait for the lens to focus before operating the shutter.
  • Single shot HDR photography is a snap.

There are some compatibility issues. Negotiations are underway with Adobe, Capture One, and other raw developer companies to extend their processing pipelines so that they can properly support the BP1’s bit depth. Sloop Lirpa will provide a utility to convert BP1 raw files to 32-bit floating point files compatible with most HDR programs. Lirpa Labs is working with automated camera platforms and with stitching software companies on ways to provide ultra-high DR panoramas.

The Last Word

← Fallen oak tree at dawn 1968 Laguna Seca USRRC — drivers →

Comments

  1. Max says

    April 1, 2015 at 11:46 am

    Happy April 1st Jim.

    Reply
  2. David Eckels says

    April 1, 2015 at 5:10 pm

    Nice April 1st description of the new BP1; sounds much better than the beta models 😉 Can’t wait to get one!
    I’d never visited your site before, but what a rich and wonderful place! I love the playful experimentation in many of your photographs – Inspiring! I look forward to exploring more.
    All the best, from LuLa land,
    David Eckels

    Reply

Trackbacks

  1. Sloof Lirpa iPad accessories | The Last Word says:
    April 2, 2016 at 7:33 am

    […] inventive company, Sloop Lirpa, makes some of its most significant product announcements. Here, here, and here are some of the previous great ones. Today’s announcements give us our first […]

    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

  • 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
  • Ivo de Man 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.