Company Filing History:
Years Active: 2017-2018
Title: Innovations by Stéphane Gesset in Image Sensor Technology
Introduction
Stéphane Gesset is a notable inventor based in Saint-Laurent-du-Pont, France. He has made significant contributions to the field of image sensor technology, holding two patents that enhance the performance of silicon-based image sensors. His work focuses on improving the reading dynamic range and signal-to-noise ratio in low light conditions.
Latest Patents
Gesset's latest patents include a silicon-based image sensor with an improved reading dynamic range. This innovation modifies the effective capacitance of the storage node in the pixel, which stores the charges collected by the photosensitive element. By utilizing a feedback loop that influences the supply voltage of the follower transistor, the apparent capacitance of the storage node can be adjusted based on the gain of the loop. This modification enhances the charge-to-voltage conversion factor, which is crucial for sensor performance.
Another significant patent involves a ramp-type analogue-digital conversion method in matrix image sensors. This method allows for two modes of analogue-digital conversion based on the light level received by a pixel. The first mode performs a single conversion in a nominal time window, while the second mode allows for multiple conversions when low light levels are detected. This dual approach improves the signal-to-noise ratio, particularly in low light conditions, by reducing Gaussian noise from the conversion chain.
Career Highlights
Stéphane Gesset is currently associated with E2V Semiconductors, where he continues to innovate in the field of semiconductor technology. His expertise in image sensors has positioned him as a key player in advancing the capabilities of imaging systems.
Collaborations
[This section has been skipped due to space constraints.]
Conclusion
Stéphane Gesset's contributions to image sensor technology through his innovative patents demonstrate his commitment to enhancing the performance of imaging systems. His work continues to influence the field and improve the quality of image capture in various applications.