Mobile X-Trans Image Sharpening

Hey, Fuji's JPEG's are awesome. Fact! So, after going "mobile" with my online workflow (post processing on my iPad), I was doin' some experimenting on in camera settings & sharpening which I'd like to share here - please read on, hope y'all like it! Starting point was a nice portrait of my lovely wife:

X100T 23mm (35mm FF eq.) @ f4, 1/50sec

To save y'all from searching my previous blogs I'll do a quick recap of my simple 3-step mobile workflow here:

  1. Select best images on my X100T's LCD & perform in camera RAW conversion to Classic Chrome, with color +1; NR, highlights, and shadows -1, sharpening as required (see below)
  2. Export the Classic Chrome JPEG's to my iPad using Shuttersnitch App (for automatic adding of IPTC copyright & author info)
  3. Post processing the JPEG's on my iPad by first optimizing WB, exposure and contrast using Athentech's Perfectly Clear App and then post processing them into black & white images using Photogene4 App

For the sharpening evaluation I prepared 2 JPEG's with "capture" sharpening settings of -1 (soft) and +1 (hard) using Fuji's in camera RAW converter. Then I exported them to iPad and applied to both 1.5 strength / 0.3 radius "output" sharpening in Photogene4, see enlargements below:

Capture sharpening +1 in camera

Capture sharpening -1 in camera

For me the one which had +1 sharpening in camera during RAW conversion is on the edge (too harsh) for portraits, the milder -1 sharpening delivering the more pleasing & natural result. Here the effect on hair with same sharpening settings as above:

Capture sharpening +1 in camera

Capture sharpening -1 in camera

On request of reader here a version with -1 sharpening applied in the in camera RAW converter, but no additional sharpening applied in Photogene4 post processing:

Capture sharpening -1 in camera, no additional sharpening in post

Curious to hear what's your view? Please leave me your comments below or contact me via my contact page! Many thanks in advance for reading & for your feedback, best rgds,


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