Name
Title | ||
|---|---|---|
A 160×120 Edge Detection Vision Chip for Neuromorphic Systems Using Logarithmic Active Pixel Sensor with Low Power Dissipation |
Abstract | ||
|---|---|---|
In this paper, a vision chip for edge detection based on the structure of a biological retina is introduced. The chip processes an image in a bio-inspired vision mechanism; therefore, it is proper for the neuromorphic systems. Logarithmic active pixel sensor (APS) was applied to the vision chip. By applying a MOS-type photodetector to the logarithmic APS, we could achieve sufficient output swing for the vision chip in natural illumination condition. A correlated-double sampling technique was applied to the chip for noise suppression. In addition, a CMOS buffer circuit is commonly used for both raw and smoothed images by using additional switches. This structure helps reduce the total number of MOSFETs for a unit-pixel and noise. A vision chip with a 160×120 pixel array was fabricated using a 0.35 μm double-poly four-metal CMOS technology, and its operation was successfully demonstrated. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-69162-4_11 | ICONIP |
Keywords | Field | DocType |
noise suppression,biological retina,pixel array,cmos buffer circuit,bio-inspired vision mechanism,edge detection vision chip,additional switch,neuromorphic systems,low power dissipation,vision chip,logarithmic active pixel sensor,logarithmic aps,mos-type photodetector,correlated double sampling,active pixel sensor,chip,edge detection | Vision chip,Computer science,Edge detection,Neuromorphic engineering,Buffer amplifier,CMOS sensor,Chip,CMOS,Pixel,Computer hardware | Conference |
Volume | ISSN | Citations |
4985 | 0302-9743 | 3 |
PageRank | References | Authors |
0.69 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-sung Kong | 1 | 5 | 1.50 |
| Dong-Kyu Sung | 2 | 3 | 0.69 |
| Hyo-Young Hyun | 3 | 3 | 0.69 |
| Jang-Kyoo Shin | 4 | 60 | 11.04 |