Image Processing

Enhanced-resolution computational integral imaging reconstruction using an intermediate-view reconstruction technique

[+] Author Affiliations
Jae-Sung Park

Kwangwoon University, Department of Electronic Engineering, National Research Lab of 3D Media, 3D Display Research Center, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea

Dong-Choon Hwang

Kwangwoon University, Department of Electronic Engineering, National Research Lab of 3D Media, 3D Display Research Center, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea

Dong-Hak Shin

Kwangwoon University, Department of Electronic Engineering, National Research Lab of 3D Media, 3D Display Research Center, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea

Eun-Soo Kim

Kwangwoon University, Department of Electronic Engineering, National Research Lab of 3D Media, 3D Display Research Center, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea

Opt. Eng. 45(11), 117004 (November 20, 2006). doi:10.1117/1.2393235
History: Received January 18, 2006; Revised April 12, 2006; Accepted April 19, 2006; Published November 20, 2006
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A new enhanced-resolution computational integral imaging reconstruction method employing an intermediate-view reconstruction (IVR) technique is presented. In the proposed method, as many intermediate elemental images as required can be synthesized from the limited number of picked-up elemental images by using the IVR technique. With sufficient overlapping of this increased number of elemental images in the reconstruction image plane, an enhanced-resolution 3-D image can be displayed. To show the feasibility of the proposed scheme, some experiments were performed, and their results are presented.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Jae-Sung Park ; Dong-Choon Hwang ; Dong-Hak Shin and Eun-Soo Kim
"Enhanced-resolution computational integral imaging reconstruction using an intermediate-view reconstruction technique", Opt. Eng. 45(11), 117004 (November 20, 2006). ; http://dx.doi.org/10.1117/1.2393235


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