| Project/Area Number |
22700175
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Osaka University |
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Principal Investigator |
OKUNO Hirotsugu 大阪大学, 大学院・工学研究科, 助教 (30531587)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | イメージセンサ / 神経模倣 / 効率的符号化 / 順応 / 対数応答 / ダイナミックレンジ |
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| Research Abstract |
We designed and implemented an image sensor system equipped with three bio-inspired coding and adaptation strategies. The system includes a field-programmable gate array(FPGA), a resistive network, and photosensors, whose light intensity-voltage characteristics are controllable. The system employs multiple time-varying reset voltage signals for photosensors 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 designed system was successfully used to obtain appropriate images of objects that were subjected to large changes in illumination.
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