Pablo Conesa edited this page May 28, 2018 · 1 revision


Estimates the gain image of a DDD camera, directly analyzing the movies. This gain is needed to have the set of recorded frames into a coherent gray level range, homogeneous over the whole image. The algorithm does not need any other input than the DED movie itself, being capable of providing an estimate of the camera gain image, helping to identify dead pixels and cases of incorrectly calibrated cameras. We propose the algorithm to be used either to validate the experimentally acquired gain image (for instance, to follow its possible change over time) or to verify that there is no residual gain image after experimentally correcting for the camera gain.


It availbale for streaming processing. And integrated in the HTML report generated by the Monitor summary.

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