Wednesday, 2 October 2013

Photo Ninja 1.2.0 with X-Trans support

PictureCode just released version 1.2.0 of their very popular professional-grade raw converter Photo Ninja.
This update comes with initial support for Fuji X-Trans cameras (X-Pro1, X-E1, X-100S, X-M1, X20). Note that highlight recovery, in particular, is not yet implemented for the X-Trans. Full change log is here.

I quickly compared this latest release to LR5, C1 and Iridient Developer. Here is my first impression.

Compared to LR5 Photo Ninja does great job rendering details and colours, especially  in "leafy" scenes. No "water colour" effect, plenty of details.

I found that PN's renders x-trans raw files very similar to Capture One Express and a bit of moire is also visible on the bird's feathers.

Iridient Developer is still the "King of Raw Converters". It pulls more details with no traces of moire whatsoever.

But ID is Mac only, while PN works on both Windows and OSX platforms.

My first impression (very subjective) is very good. Photo Ninja delivers nice colours and excellent details. Interface is easy to understand, plenty of controls and it runs really fast.
I will do more testing over the weekend.



  1. Interesting, thanks for this. I had hope for Iridient but I could not get the colors even close, especially the yellows. So far the PictureCode looks fantastic on the colors, no adjustment needed, but haven't "pixel-peeped" yet.

  2. Both Photo Ninja and Iridient Developer are excellent raw converters and, IMO, you can't go wrong with either. It's just matter of personal preference.

  3. Thanks for the post. I´m not sure if the extra detail from Iridient is due to more agressive local contrast and sharpening?

    In some cases Photo Ninja seems to render a more neutral yet very detailed image...any recommendations for the best sharpening in Iridient for the X-trans files?

    1. Both raw converters are very good. I did some additional testing and think that Iridient wins in moire control.
      Here is my 2 favourite ID settings:
      1. More aggressive
      Sharpening method: R-L Deconvolution, 0.34 radius, 16 iterations
      Noise reduction V2:1 0,3,5,3
      2. Less aggressive
      Sharpening method: DoG, 0.24, 0.60, 140
      Noise reduction V2: 6,4,5,2

      Both settings were recommended by Brian Griffith and work very well for me.


    2. Thanks a lot - I´ll give it a try!


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