Busting the full-frame myth
Many of my readers know of my enthusiasm for Micro Four Thirds cameras. I love them for the smaller lenses, the system’s lighter weight, and its overall lower costs. But one thing I’ve never argued is Micro Four Thirds cameras are better in low light.
I have professed that we have the ability to clean our low-light images up by using software, taking advantage of computer power that negates the benifits of full-frame. But this article by Mark Wieczorek published in Icecream Geometry has made me think about the subject in more depth. Beware, my brain hurt after trying to digest all the details this gentleman provides. I’ve never been good at math, so I have to take this guy’s word for the argument he presents. Either way, it’s an interesting read.
The software tools I use to process my MFT images
For my work, the software tools I use to negate the benefits of full-frame cameras and make sure that Micro Four Thirds cameras are better in low light are the following.
Digital Asset Management (DAM): Mylio
RAW Processing: DXO PhotoLab 5
Noise Reduction: DXO PhotoLab and Topaz DeNoise
Sharpening: Topaz Sharpen AI
Increase Image Size: On1 Resize AI 2022 and Topaz Gigapixel AI
Tools of the Trade video to show some of my workflow