ThrillaMozilla
Veteran Member
We can add the noise measurements to this, but we have to make a correction. There's a theorem that states that random noise is a function of the size of the aperture. For a digital sensor it varies with the linear size of the pixel. Therefore small pixels inherently have lower noise levels than large pixels (but also lower S/N). The R5 and R7 have 4.39 and 3.19 micrometer pixels, respectively. So, to normalize the R7 data to the larger pixel size of the R5, multiply by 4.39/3.19. Claff's graph is presented in log2 units, so the correction is log2(4.39/3.19) = 0.46. Add 0.46 to the R7 data.So, if I choose the Canon R7 (1.6x-APS-C) as a single window, and the R5 for comparison, I will make one window R7 at ISO 25.6K, and one window R5 at 51.2K, and the other R5 at 102K, knowing that in equivalence of the crops in the windows in the tool, the R5 at 65.5K would be equivalent to the R7 at 25.6K. So, I ask myself, how noisy would 65.5K on the R5 be, interpolating from 51.2K and 102K. With these particular cameras, the answer is simple; the R5 is less efficient with noise to the point that the R7 at 25.6K is better than the R5 at 51.2K, with no need for visual interpolation, and I can then say that at high ISOs, in the shadows, the R7 is about 1/2 stop less visibly noisy, with equal total light.
But noise can be structured, and is not always random, so it's good to have the visual confirmation of the DPR tests.
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