| Project/Area Number |
03650281
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
電子通信系統工学
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| Research Institution | Kanagawa University |
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Principal Investigator |
SAITO Takahiro Faculty of engineering, Kanagawa University Professor, 工学部, 教授 (10150749)
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| Co-Investigator(Kenkyū-buntansha) |
KOMATSU Takashi Faculty of Engineering, Kanagawa University Assistant, 工学部, 助手 (80241115)
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| Project Period (FY) |
1991 – 1992
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| Project Status |
Completed (Fiscal Year 1992)
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| Budget Amount *help |
¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1992: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 1991: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | Very High Resolution / Multiple Cameras / CCD Imager / Improved Resolution |
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| Research Abstract |
Aiming at the development of an imaging system for acquiring VHD images, we presents a new signal-processing based approach to improve the spatial resolution of existing image acquisition devices. The signal-processing based image acquisition method produces an improved resolution image with sufficiently high SNR by processing and integrating multiple images taken simultaneously with multiple different cameras. After the theoretical analysis and experimental simulation, we have had the next results.
1.In the case of the optical axes of the two cameras intersect or the case of imaging 3-dimensional object, a pixel of one image taken with one camera almost coincides with some pixel of the other image taken with the other camera. And hence in such portion spatial resolution is not improved satisfactorily.
2.On the other hand, the utilization of multiple cameras various in their pixel apertures enables us to remove this non-uniform improvement problem, because in the different-aperture case, unlike the same-aperture case, a pixel of one camera taken with one camera never coincides with any pixel of another camera taken with another camera irrespective of the arrangement of multiple imagers.
In this research, we show the advantage of utilization of multiple cameras various in their pixel apertures, but it is requires that investigation of robust registration algorithm even under severe aliasing effects and available in the different aperture case.
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