A nanophotonic diffractive network performs morphological image processing, including dilation and erosion, purely through light propagation.

Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, ...

Sensor sensibility: Some of the biggest names in the history of digital image sensors who have made significant breakthroughs in CCD and CMOS sensors have collaborated on a history of the technology ...

The expanding use and importance of image sensors in safety-critical applications such as automotive and medical devices has transformed noise from an annoyance into a life-threatening problem that ...

APS-C sensors are smaller than full-frame sensors, typically around 22.2 x 14.8mm for Canon, and approximately 23.6 x 15.6mm for other brands like Nikon, Sony, and Fujifilm. This size difference ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

Engineers have introduced a holistic system that integrates sensing, storage and processing at the sensor's edge to enable efficient and secure signal processing. Brain-inspired hardware minimizes ...

Extending its portfolio of image sensors for automotive applications, Sony Semiconductor Solutions Corp. has announced the upcoming release of its new 5-megapixel (MP) IMX775 CMOS RGB-IR image sensor ...

Delivering better image quality is a top challenge in all applications for image sensor manufacturers. Improvements in image sensors help design engineers enable advanced features for their automotive ...

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...