Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

3D image quality enhancement in computational integral imaging system by additional use of an interpolation method

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we propose a computational integral imaging reconstruction (CIIR) method by use of image interpolation algorithms to improve the viewing quality of 3D reconstructed images. Several interpolation methods are applied to the conventional CIIR method and their performances are analyzed. To show the usefulness of the proposed CIIR method, we carry out experiments on real objects and present the results.

© 2008 Optical Society of America

PDF Article
More Like This
Computational Integral Imaging Reconstruction Method of 3D Images Based on Pixel-to-pixel Mapping and Interpolation Technique

Dong-Hak Shin, Dong-Jin Kim, and Byung-Gook Lee
DWB18 Digital Holography and Three-Dimensional Imaging (DH) 2009

Resolution-improved image reconstruction of 3D object occluded partially by the unknown occlusion in computational integral imaging

Dong-Hak Shin, Chun-Wei Tan, Hoon Yoo, and Byung-Gook Lee
JMA8 Biomedical Optics (BIOMED) 2008

Extraction of depth cue of a 3-D object using a Computational Integral Imaging Reconstruction Scheme

Dong-Choon Hwang, Dong-Hak Shin, and Eun-Soo Kim
DTuB8 Digital Holography and Three-Dimensional Imaging (DH) 2007

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.