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

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1063

Lastpage

1066

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICECS.2007.4511177

Filename

4511177