Resolution improvement of computationally reconstructed 3D images by use of intermediate elemental images

Jae-Sung Park; Dong-Choon Hwang; Dong-Hak Shin; Eun-Soo Kim

doi:10.1117/12.681973

24 August 2006 Resolution improvement of computationally reconstructed 3D images by use of intermediate elemental images

Jae-Sung Park, Dong-Choon Hwang, Dong-Hak Shin, Eun-Soo Kim

Author Affiliations +

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 63121P (2006) https://doi.org/10.1117/12.681973
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

In this paper, a new resolution-enhanced computational integral imaging reconstruction method employing an intermediate-view reconstruction technique is presented. In the proposed method, a number of intermediate elemental images can be synthesized as many as required 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, a resolution-enhanced 3D image can be displayed. To show a feasibility of the proposed scheme, some experiments were performed and its results were presented as well.

Citation Download Citation

Jae-Sung Park, Dong-Choon Hwang, Dong-Hak Shin, and Eun-Soo Kim "Resolution improvement of computationally reconstructed 3D images by use of intermediate elemental images", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121P (24 August 2006); https://doi.org/10.1117/12.681973

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available