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Technical Program
Paper Detail
| Paper: | WA-P7.10 |
| Session: | Interpolation, Super-Resolution and Demosaicking |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
IMPROVED MULTIPLEXED IMAGE RECONSTRUCTION PERFORMANCE THROUGH OPTICAL SYSTEM DIVERSITY DESIGN |
| Authors: |
Sally Wood; Santa Clara University | | | | | Hseuh-Ban Lan; Santa Clara University | | | | | Dinesh Rajan; Southern Methodist University | | | | | Marc Christensen; Southern Methodist University | | |
| Abstract: |
Multiplexed image reconstruction, estimating high resolution images from multiple low resolution images with highly overlapped fields of view, is improved when the magnification of the imagers is diverse. No assumptions of shift invariance or Toeplitz structure are required for computational manageability because localized reconstruction is possible and sensitivity to boundary conditions is reduced. Such multiplexed diverse image sensors have applications in flat sensor systems for surveillance and pervasive personal imaging. |
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