Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2012-11-01

Journal: OPTICS AND LASERS IN ENGINEERING

Included Journals: Scopus、EI、SCIE

Volume: 50

Issue: 11

Page Number: 1602-1610

ISSN: 0143-8166

Key Words: Computational integral imaging; Partially occluded 3D target; Pixel restoration

Abstract: In this paper, we propose an effective approach for visibility-enhanced reconstruction of a partially occluded 3-D target by using the pixel-restoration method in the computational integral-imaging system. In the proposed method, elemental images (EIs) of the 3-D target that are partially occluded by a foreground object are picked up and transformed into sub-images (SIs). By using the block-matching algorithm then, the occluded target regions of each sub-image are estimated and removed. After that, the missing pixels in each sub-image are re-established by using the proposed pixel-restoration method. Finally, these restored SIs are converted back into the newly modified EIs, from which the resolution-enhanced target can be reconstructed with the computational integral-imaging reconstruction (CIIR) method. Successful experiments with the test objects confirm the feasibility of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.