Next-Gen Low-Noise Imaging Technology Developed By Leti For French Sme Pyxalis
Leti, an institute of CEA Tech, and PYXALIS, a French SME specializing in high-performance image sensors, have announced a new technology that lowers readout noise for image sensors down to 0.5 electron noise and dramatically improves low-light image sensing capabilities.
The new technology, called Owly-eyed, is based on a patented electrical architecture of the pixel readout that can be integrated in image sensors. Designed to meet growing demand for more sensitive CMOS image sensors, it has been adapted for PYXALIS, which will offer it in its next-generation image sensors.
"In this common lab with PYXALIS, we've developed a low-noise image technology that provides state-of-the-art advanced imaging for next-generation applications in a wide range of markets and industries," said Marie Semeria, Leti's CEO. "This CMOS-based device, which can be adapted for multiple uses, is another strong example of how Leti's broad technology innovations make our partners more competitive in their industries."
"Leti's Owly-eyed technology is a major improvement in low-noise imaging," said PYXALIS CEO Philippe Rommeveaux. "Combined with our capacity to offer advanced sensors with high digital integration and high dynamic range, it will allow us to establish a new performance standard in image sensors that address the growing demand for low-light applications in the surveillance, biomedical, science, defense and aerospace markets."
In the Owly-eyed technology demonstrator, a sub-0.5 e−rms temporal read noise has been achieved on a VGA format CMOS image sensor implemented in a standard CMOS process. The low-noise performance is achieved exclusively through circuit optimization without any process refinements.
Leti also is developing many other technologies for innovative sensors and image processing that perform in low-power and low-latency operating modes.
Leti demonstrated the Owly-eyed technology and a set of advanced smart-image-processing solutions at Vision 2016.
