合成孔径集成成像中基于遮挡物去除的目标重构
摘要
Synthetic aperture integral imaging provides the ability to reconstruct partially occluded objects from multi-view images. However, the reconstructed images suffer from degraded contrast due to the superimposition of foreground defocus blur. We propose an algorithm to remove foreground occlusions before reconstructing backgrounds. Occlusions are identified by estimating the color variance on elemental images and then deleting it in the final synthetic image. We demonstrate the superiority of our method by presenting experimental results as well as comparing our method with other approaches.
引用本文（GB/T 7714）
Zhiliang Zhou, Yan Yuan, Bin Xiangli, 等. 合成孔径集成成像中基于遮挡物去除的目标重构[J]. Chinese Optics Letters, 2011.
引文网络
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