We present a computational scheme for removing an occlusion in a partially occluded, far object in a computational integral imaging (CII) system. In order to obtain the high resolution elemental image array (EIA) with enhanced information of the occluded image for better applying block matching, a smart pixel mapping process and a subimage transform process are adopted. Based on depth maps produced between adjacent subimages, we acquire the expected EIA without occlusion information. Theoretical analysis of the proposed scheme is given. To show the effectiveness of the proposed scheme, we carry out some experiments. As demonstrated using test images, experimental results show that the proposed scheme outperforms Shin’s scheme and the CII scheme under the same situations.
© 2010 Optical Society of America
Original Manuscript: December 24, 2009
Revised Manuscript: April 5, 2010
Manuscript Accepted: April 6, 2010
Published: May 4, 2010
Miao Zhang, Yongri Piao, and Eun-Soo Kim, "Occlusion-removed scheme using depth-reversed method in computational integral imaging," Appl. Opt. 49, 2571-2580 (2010)