![]() ![]() See thumbnails of all test and gallery imagesĪuto and Incandescent white balance settings both struggled with household incandescent lighting, though Manual white balance worked well. Delta-C color error increases with sensitivity, but remains better than average across the ISO range. (The cyan to blue shift is very common among the digital cameras we test we think it's a deliberate choice by camera engineers to produce better-looking sky colors.) Average "delta-C" color error at base ISO is 4.18, which is very good. There are the usual shifts in cyan toward blue (actually quite small), red toward orange, and orange toward yellow, but all are fairly minor. The Canon EOS M10's hue accuracy is better than average. Problematic is on Caucasian skin tones, as it's very easy for these "memoryĬolors" to be seen as too bright, too pink, too yellow, etc. Interestingly, Manual white balance produced skin tones that were a bit too saturated for our tastes. The Canon EOS M10 produced pleasing, natural-looking Caucasian skin tones in our simulated daylight tests when Auto white balance setting was used. This is simply because most people like their color Produce color that's more highly saturated (more intense) than found in That's also typical, though, and overall saturation levels are quite pleasing. The mean saturation of 110.6% (10.6% oversaturated) at base ISO about average for cameras we've tested, and mean saturation is quite stable as ISO rises to 3200, but falls off to a low of 103.2% at extended ISO 25,600. Strong reds, oranges, dark greens, dark brown and dark blues are pushed by minor to moderate amounts, while yellow, light green and cyan are just slightly muted. The Canon EOS M10 produces images with mean saturation levels that are quite typical. Mouse over the links above to compare ISOs, and click to load a larger version. Thus, hue-accurate, highly saturated colors appear as lines radiating from the center. Hue changes as you travel around the center. More saturated colors are located toward the periphery of the graph. ![]() In the diagram above, the squares show the original color, and the circles show the color that the camera captured.
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