Title :
A High Dynamic Range Time-Based Edge Detection Algorithm for a Vision Sensor
Author :
Nicola, Massari ; Syed, Arsalan Jawed ; Gottardi, Massimo
Author_Institution :
Fondazione Bruno Kessler - IRST, Povo
Abstract :
A new time-based asynchronous edge detection algorithm is here presented. The proposed technique allows to extend the dynamic range of the sensor at more than 100 dB. The algorithm, which is intended to be implemented at the pixel level of a vision sensor, has been simulated using a 0.35 mum CMOS technology by means mixed signal circuits placed behind the photosensitive area. The pixel consists of 45 transistors and will be supplied by two different voltage values: 1.2 V, for the digital circuits, and 3.3 V for the analog output, in order to optimize power consumption and maximize output range.
Keywords :
CMOS image sensors; edge detection; mixed analogue-digital integrated circuits; CMOS technology; dynamic range vision sensor; mixed signal circuits; photosensitive area; size 0.35 mum; time-based asynchronous edge detection; voltage 1.2 V; voltage 3.3 V; CMOS technology; Circuit simulation; Data mining; Dynamic range; Energy consumption; Image edge detection; Image processing; Optical filters; Pixel; Voltage;
Conference_Titel :
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-1377-5
Electronic_ISBN :
978-1-4244-1378-2
DOI :
10.1109/ICECS.2007.4511177
