What is equivalence and why should I care?
Cameras and lenses used:
Although we tried to find cameras with similar pixel count, that wasn't always possible. We used the following cameras and lenses:
|These four lenses are all 85mm equivalent F1.2s. However, this does not mean they're all 85mm F1.2 equivalent. As you can see, the sizes vary dramatically.|
|Format||Camera||Pixel Count||Lens||Dimensions||Weight||MSRP (US)|
|Full Frame||Canon EOS-1D X||17.9MP||Canon 85mm F1.2||92 x 84mm||1,025g||$2,199|
|APS-C||Fujifilm X-A1||16MP||Fujifilm 56mm F1.2||73 x 70mm||405g||$999|
|Four Thirds||Panasonic DMC GH4||15.9MP||Panasonic 42.5mm F1.2 OIS||77 x 74mm||425g||$1,599|
|1"-type||Nikon 1 V3||18.2MP||Nikon 1 32mm F1.2||66 x 47mm||235g||$899|
All images were processed using Adobe Camera Raw 8.5 and resized to a common diagonal of 5760 pixels. This meant leaving the GH4 images at their native 4608 x 3456 pixel resolution, while the 3:2 cameras were downsampled to 4793 x 3195 pixels, using Bicubic downsizing in Photoshop.
Portrait images were manually white-balanced and brightness matched, based on the white regions between dots in the background.
Low light images had noise reduction minimized and shadows brightened to the same degree to make noise visually apparent. They were then manually white-balanced and adjusted to match image brightness, based on a common mid-tone region. Noise reduction was minimized in each case.