barti Posted October 18, 2020 Posted October 18, 2020 (edited) Hello Affinity Team, I found some strange behaviour of the Affinity Lens Correction (so far tested for the Zeiss Batis 2.8/18). I did some extensive testing and came to the following conclusion: The Apple Core Image RAW Engine the distortion correction mimics the in-camera correction of the Sony A7III nearly perfectly. The Serif Engine does not... A substantial amount of the image is lost after distortion correction. (Best seen on the USB Cable on the Left However, if I change the scaling of the lens correction using (Serif Engine) to 98,5% and perform a crop after development to 6000x4000, the result gets really really close to the in-camera correction. I presume that the scaling was selected, so that the image has content all the way to the edges without cropping to 6000x4000. (The RAW has 6024x4024). However, at a 98,7% Scaling all 6024x4024 pixels have meaningful information, all the way to the edge corner pixels. So I wonder - why is the Serif Engine Distortion Correction unnecessarily throwing away information? I speculate that the difference comes from Apple using a manufacturer profile (stored with the RAW file) and Serif is using a dedicated/different Lens profile. I attached my test images (scaled to 2000 pixels, but the effect is still visible). Any ideas / tipps / help? For me this means, I need to switch on Apple Raw Enginge. What would be the disadvantage of doing that? Thanks a lot, Matthias Edited October 18, 2020 by barti duplicate images removed Quote
barti Posted October 29, 2020 Author Posted October 29, 2020 Hello Affinity Team, do you have any response? Thanks! Quote
Staff Chris B Posted November 3, 2020 Staff Posted November 3, 2020 Hey barti, Sorry for the delay. Is it possible for you to attach the core image as we'd need to do some side-by-side checks. You can usually back off the lens distortion scaling to 98/99 without seeing any alpha and retain the meaningful info. Quote How to format a bug report | Learning Resources | List of V2 FAQs | YouTube Tutorials
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