Image quality improvement in computational reconstruction of partially occluded objects using two computational integral imaging reconstruction methods

In this paper, we propose an image quality improvement method of partially occluded objects using two different computational integral imaging reconstruction (CIIR) methods. In the proposed method, we first remove the occlusion in the recorded elemental images using two different plane images which are generated from two different CIIR methods. We introduce a CIIR method based on a round-mapping model for combined use of the previous method. The difference between two plane images reconstructed at a specific distance enables us to estimate the position of the occlusion in the elemental images. The occlusion-removed elemental images are used to reconstruct the improved 3D images. We carry out some experiments and present the results to show the usefulness of the proposed method.