H04N 25/60

Diese Klassifikationsstelle umfasst:

(Für diese Definition ist die deutsche Übersetzung noch nicht abgeschlossen)

Diese Klassifikationsstelle umfasst:

Noise processing circuits for reduction of random noise, line noise, high frequency noise, temporal noise caused by voltage drop of power supply or of driving circuits when implemented as part of the image sensor;
Circuits for control of bandwidth of amplifiers or comparators implemented in the image sensor as far as related to the overall noise level of the image sensor;
Noise processing circuits for reduction of optical crosstalk, light leakage, colour mixing and other noise originating from the components of the associated optical system;
Noise processing circuits for reduction of frame to frame variations caused by the image sensor and not by external illumination variation;
Image sensor noise characterisation, e.g. methods to derive parametric models to quantify different sensor noise types (such as readout noise or photo-shot noise) in the sensed image according to e.g. Gaussian, Poisson or uniform probability distribution functions; methods to calibrate and obtain noise levels of sensor data for further use, for example in filtering applications.

Camera processing pipelines or components thereof for suppressing or minimising disturbance in the image signal generation

This place covers:

Noise processing circuits for reduction of random noise, line noise, high frequency noise, temporal noise caused by voltage drop of power supply or of driving circuits when implemented as part of the image sensor;
Circuits for control of bandwidth of amplifiers or comparators implemented in the image sensor as far as related to the overall noise level of the image sensor;
Noise processing circuits for reduction of optical crosstalk, light leakage, colour mixing and other noise originating from the components of the associated optical system;
Noise processing circuits for reduction of frame to frame variations caused by the image sensor and not by external illumination variation;
Image sensor noise characterisation, e.g. methods to derive parametric models to quantify different sensor noise types (such as readout noise or photo-shot noise) in the sensed image according to e.g. Gaussian, Poisson or uniform probability distribution functions; methods to calibrate and obtain noise levels of sensor data for further use, for example in filtering applications.

Camera processing pipelines or components thereof for suppressing or minimising disturbance in the image signal generation