This work is dedicated to CMOS based imaging with the emphasis on
the noise modeling, characterization and optimization in order to
contribute to the design of high performance imagers in general and
range imagers in particular. CMOS is known to be superior to CCD
due to its flexibility in terms of integration capabilities, but
typically has to be enhanced to compete at parameters as for
instance noise, dynamic range or spectral response. Temporal noise
is an important topic, since it is one of the most crucial
parameters that ultimately limits the performance and cannot be
corrected. This work gathers the widespread theory on noise and
extends the theory by a non-rigorous but potentially computing
efficient algorithm to estimate noise in time sampled systems. This
work contributed to two generations of LDPD based ToF range image
sensors and proposed a new approach to implement the MSI PM ToF
principle. This was verified to yield a significantly faster charge
transfer, better linearity, dark current and matching performance.
A non-linear and time-variant model is provided that takes into
account undesired phenomena such as finite charge transfer speed
and a parasitic sensitivity to light when the shutters should
remain OFF, to allow for investigations of largesignal
characteristics, sensitivity and precision. It was demonstrated
that the model converges to a standard photodetector model and
properly resembles the measurements. Finally the impact of these
undesired phenomena on the range measurement performance is
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||Devices, Circuits, and Systems
||Electronic book text
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