Digital Magnification of 3D Imaging Using an Intermediate-View Reconstruction Based on an Adaptive Block Matching Algorithm
Abstract:In this paper, digital magnification of three-dimensional (3D) imaging, using an ABMA intermediate view reconstruction (IVR) based on an adaptive block matching algorithm is proposed. The number of the elemental images obtained from a one-step pickup process can be computationally increased through the use of the proposed IVR without the need for mechanical movement and a long multistep pickup process. To show the feasibility of the proposed magnified 3D imaging system, using test images of a car, bottle, phone, and watch, it was shown that the proposed ABMA algorithm improves the peak signal to noise ratio of reconstructed intermediate images by as much as 5.16 dB on average in comparison with a conventional block and feature-based algorithm.
Document Type: Research Article
Affiliations: 1: Communication/Platform CFCS Group, Samsung Thales Co., Ltd., San 14-1, Giheung-gu, Yongin, Gyeonggi 446-712, Korea 2: Samsung Electronics Co., Ltd., Yongtong-gu, Suwon, Gyeonggi, 443-370, Korea 3: 3D Display Research Center, Department of Electronic Engineering, Kwangwoon University, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea
Publication date: September 1, 2008
The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.
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