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Determining 3D Flow Fields via Multi-camera Light Field Imaging
Published on: March 6, 2013
Resolution-enhanced three-dimensional image reconstruction by use of smart pixel mapping in computational integral
Dong-Hak Shin1, Chun-Wei Tan, Byung-Gook Lee
1Department of Visual Contents, Dongseo University, Sasang-Gu, Busan , Korea.
Applied Optics
|December 17, 2008
Summary
Computational integral imaging reconstruction (CIIR) improves 3D image resolution using smart pixel mapping (SPM). This novel two-stage method enhances distant object imaging by combining conventional and SPM-based techniques for clearer plane images.
Area of Science:
- Optics and Photonics
- Computational Imaging
- 3D Reconstruction
Background:
- Computational integral imaging digitally reconstructs 3D objects.
- Image resolution degrades significantly with increasing distance from the lenslet array.
Purpose of the Study:
- To propose a novel computational integral imaging reconstruction (CIIR) method to overcome resolution degradation at long distances.
- To enhance the resolution of plane images for 3D objects located far from the lenslet array.
Main Methods:
- Smart Pixel Mapping (SPM) computationally converts long-distance elemental images to near-lenslet array equivalents.
- A two-stage CIIR method combines conventional CIIR for short distances and SPM-based CIIR for long distances.
Main Results:
- The proposed two-stage CIIR system demonstrated substantial resolution gains for reconstructed plane images at long distances.
- SPM effectively improves the quality of elemental images recorded from distant 3D objects.
Conclusions:
- The novel two-stage CIIR method effectively addresses the challenge of resolution degradation in computational integral imaging at extended ranges.
- This approach offers a significant improvement for reconstructing high-resolution 3D object images from a distance.
