Abstract | ||
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A silicon retina is an intelligent vision sensor that can execute real-time image preprocessing by using a parallel analog circuit that mimics the structure of the neuronal circuits in the vertebrate retina. For enhancing the sensor's robustness to changes in illumination in a practical environment, we have designed and fabricated a silicon retina on the basis of a computational model of brightness constancy. The chip has a wide-dynamic-range and shows a constant response against changes in the illumination intensity. The photosensor in the present chip approximates logarithmic illumination-to-voltage transfer characteristics as a result of the application of a time-modulated reset voltage technique. Two types of image processing, namely, Laplacian-Gaussian-like spatial filtering and computing the frame difference, are carried out by using resistive networks and sample/hold circuits in the chip. As a result of these processings, the chip exhibits brightness constancy over a wide range of illumination. The chip is fabricated by using the 0.25- μm complementary metal-oxide semiconductor image sensor technology. The number of pixels is 64 × 64, and the power consumption is 32 mW at the frame rate of 30 fps. We show that our chip not only has a wide-dynamic-range but also shows a constant response to the changes in illumination. |
Year | DOI | Venue |
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2011 | 10.1109/TNN.2011.2161591 | IEEE Transactions on Neural Networks |
Keywords | Field | DocType |
CMOS image sensors,brightness,computer vision,eye,sample and hold circuits,silicon,spatial filters,Laplacian-Gaussian-like spatial filtering,brightness constancy,complementary metal-oxide semiconductor image sensor technology,illumination intensity,intelligent vision sensor,logarithmic illumination-to-voltage transfer characteristics,neuronal circuit,parallel analog circuit,photosensor,real-time image preprocessing,time- modulated reset voltage technique,vertebrate retina,wide-dynamic-range APS-based silicon retina,Analog very large scale integrated,brightness constancy,neuromorphic silicon retina,vision sensor,wide-dynamic-range | Wide dynamic range,Computer science,Image processing,Artificial intelligence,Computer vision,Dynamic range,Pattern recognition,Image sensor,Optics,Chip,Frame rate,Pixel,Brightness | Journal |
Volume | Issue | ISSN |
22 | 9 | 1045-9227 |
Citations | PageRank | References |
9 | 0.91 | 13 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kazuhiro Shimonomura | 1 | 57 | 13.11 |
Seiji Kameda | 2 | 25 | 7.10 |
Atsushi Iwata | 3 | 30 | 8.84 |
Tetsuya Yagi | 4 | 140 | 27.73 |