How many photographs are needed for bad pixel identification?

We identified bad pixels with different numbers of randomly chosen images, and for robustness averaged results from five different runs.

Here we show the variation with the number of images, of the mean and median number of false positives in identifying bad pixels on the detectors of 10 Canon G5 camera instances. We found that approximately 300 photographs are needed for the number of false positives to become almost zero.

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