Enhanced reconstruction of partially occluded objects with occlusion removal in synthetic aperture integral imaging
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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 super-imposition 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 im-ages 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.