Location
Gainesville, FL
Start Date
19-5-2023 3:30 PM
End Date
19-5-2023 3:40 PM
Document Type
Extended Abstract
Keywords
Cellular Neural Network, CMOS Image Sensors, Active Pixel Sensor, Analog Preprocessing
Description
A concept for a CMOS image sensor architecture with real-time parallel analog signal processing is presented in this paper. Cellular Neural Networks (CNN) enables image processing in the analog domain using circuit elements such as capacitors, resistors, and nonlinear voltage-controlled current sources. Utilizing CNN for pre-processing in the analog domain allows for real-time feature extraction, noise removal, or other basic image processing, including edge and corner detection. Implementing CNN on a camera requires modification to the CMOS active pixel sensor architecture.
DOI
https://doi.org/10.5038/IHMA3698
Implementation of Cellular Neural Network in 5-Transistor Active Pixel Sensors
Gainesville, FL
A concept for a CMOS image sensor architecture with real-time parallel analog signal processing is presented in this paper. Cellular Neural Networks (CNN) enables image processing in the analog domain using circuit elements such as capacitors, resistors, and nonlinear voltage-controlled current sources. Utilizing CNN for pre-processing in the analog domain allows for real-time feature extraction, noise removal, or other basic image processing, including edge and corner detection. Implementing CNN on a camera requires modification to the CMOS active pixel sensor architecture.
Comments
Revised version based on reviewer's feedback