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Proceedings Paper

Efficient reduction of defocused areas in the reconstructed image by computational integral imaging reconstruction
Author(s): Kwang-Jin Lee; Chang-Keun Kim; Dong-Choon Hwang; Eun-Soo Kim
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Paper Abstract

The image reconstructed by use of the computational integral imaging reconstruction at the output plane where a three-dimensional object was originally located is almost focused, while its image has defocused areas due to the background images or the other object images reconstructed at the same output plane and it gets considerable in case of multiple objects. For overcoming this problem, this paper presents a digital technique that estimates a blur measure of the reconstructed plane images and efficiently eliminates defocused areas. The depth of a three-dimensional object can be accurately detected from a blur measure and the resolution and quality of reconstructed plane images are slightly enhanced by adaptive erosion operation. Therefore, we qualitatively expect this scheme to work well in the specific task such as a part of the system for object detection and recognition in integral imaging.

Paper Details

Date Published: 26 September 2007
PDF: 12 pages
Proc. SPIE 6778, Three-Dimensional TV, Video, and Display VI, 67780R (26 September 2007); doi: 10.1117/12.733246
Show Author Affiliations
Kwang-Jin Lee, Kwangwoon Univ. (South Korea)
Chang-Keun Kim, Kwangwoon Univ. (South Korea)
Dong-Choon Hwang, Kwangwoon Univ. (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 6778:
Three-Dimensional TV, Video, and Display VI
Bahram Javidi; Fumio Okano; Jung-Young Son, Editor(s)

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