DocumentCode
3706248
Title
CMOS implementation of pixel-wise coded exposure imaging for insect-based sensor node
Author
Jie Zhang;Yuanming Suo;Chen Zhao;Trac D. Tran;Ralph Etienne-Cummings
Author_Institution
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA, 21218
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Insect based Mobile Wireless Sensor Nodes (MWSN) has gained interests from the research community in recent year. These small biological entities have excellent maneuverability and can enter extreme areas not accessible to human. In order not to hinder the flight of the insect, the image sensors carried by these small insects must be light, low power, high speed and is capable of providing high quality images for different scene conditions and flight speed. In this paper, we present an implementation of pixel-wise coded exposure image sensor, developed based on the theory of Compressed Sensing (CS). This architecture can provide up to 18× more frame rate with both high spatial and temporal resolution compared to a traditional image sensor with the same readout speed. Additionally, through adaptive control of the pixel exposure duration, this architecture can be made to provide optimal image quality under all conditions. The test pixel array consumes 46 μW at 100 fps.
Keywords
"Image reconstruction","Videos","Image sensors","Lighting","Photodiodes","Dictionaries","Signal to noise ratio"
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE
Type
conf
DOI
10.1109/BioCAS.2015.7348419
Filename
7348419
Link To Document