Share Email Print
cover

Proceedings Paper

Enhanced 3D correlator using Blur metric-based resolution enhancement
Author(s): Kang-Jae Eun; Keong-Jin Lee; Dong-Choon Hwang; Eun-Soo Kim
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we proposed enhanced 3-dimentional correlator for extracting accurate location data using computationally reconstructed integral imaging. Elemental images of reference objects and target objects are computationally picked up by virtual pinhole model. These picked elemental images up, target images, reference images are reconstructed by mean of a modified computational integral imaging reconstruction technique. To find original location of target objects, Blur Metric are used to measure Plane object images(POIs) without advance information of target objects. Defocused areas in focused POIs can be efficiently reduced by erosion operation based on a blur metric. This method efficiently find out more accurate longitudinal location of 3D target images through correlation with reconstructed reference images and target plane images. With the propose of showing the feasibility of the proposed method, comparison a case of to use of Blur Metric with a case of to non-use of Blue Metric is implemented and the result are presented.

Paper Details

Date Published: 3 September 2008
PDF: 10 pages
Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70720Y (3 September 2008); doi: 10.1117/12.795770
Show Author Affiliations
Kang-Jae Eun, Kwangwoon Univ. (Korea, Republic of)
Keong-Jin Lee, Kwangwoon Univ. (Korea, Republic of)
Dong-Choon Hwang, Kwangwoon Univ. (Korea, Republic of)
Eun-Soo Kim, Kwangwoon Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7072:
Optics and Photonics for Information Processing II
Abdul Ahad Sami Awwal; Khan M. Iftekharuddin; Bahram Javidi, Editor(s)

© SPIE. Terms of Use
Back to Top