Paper Info
Title
Image Sensor System With Bio-Inspired Efficient Coding and Adaptation
Abstract
We designed and implemented an image sensor system equipped with three bio-inspired coding and adaptation strategies: logarithmic transform, local average subtraction, and feedback gain control. The system comprises a field-programmable gate array (FPGA), a resistive network, and active pixel sensors (APS), whose light intensity-voltage characteristics are controllable. The system employs multiple time-varying reset voltage signals for APS in order to realize multiple logarithmic intensity-voltage characteristics, which are controlled so that the entropy of the output image is maximized. The system also employs local average subtraction and gain control in order to obtain images with an appropriate contrast. The local average is calculated by the resistive network instantaneously. The designed system was successfully used to obtain appropriate images of objects that were subjected to large changes in illumination.
Year
DOI
Venue
2012
10.1109/TBCAS.2012.2185048
Biomedical Circuits and Systems, IEEE Transactions
Keywords
DocType
Volume
field programmable gate arrays,image sensors,active pixel sensors,bio-inspired efficient coding and adaptation,feedback gain control,field-programmable gate array,image sensor system,light intensity-voltage characteristics,local average subtraction,logarithmic transform,resistive network,Adaptation,bio-inspired,efficient coding,image sensor,logarithmic response,neuromorphic,silicon retina
Journal
6
Issue
ISSN
Citations 
4
1932-4545
6
PageRank 
References 
Authors
0.66
13
2
Name
Order
Citations
PageRank
Hirotsugu Okuno1265.15
Tetsuya Yagi214027.73