Abstract
In this paper, we propose an enhancement of three-dimensional (3D) image visualization techniques by using different pickup plane reconstructions. In conventional 3D visualization techniques, synthetic aperture integral imaging (SAII) and volumetric computational reconstruction (VCR) can be utilized. However, due to the lack of image information and shifting pixels, it may be difficult to obtain better lateral and longitudinal resolutions of 3D images. Thus, we propose a new elemental image acquisition and computational reconstruction to improve both the lateral and longitudinal resolutions of 3D objects. To prove the feasibility of our proposed method, we present the performance metrics, such as mean squared error (MSE), peak signal-to-noise ratio (PSNR), structural similarity (SSIM), and peak-to-sidelobe ratio (PSR). Therefore, our method can improve both the lateral and longitudinal resolutions of 3D objects more than the conventional technique.
Funder
National Research Foundation of Korea
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference24 articles.
1. Three-Dimensional Optical Sensing and Visualization Using Integral Imaging;Cho;Proc. IEEE,2011
2. Cho, M., and Javidi, B. (2016). Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing. Sensors, 16.
3. Three-dimensional integral imaging of micro-objects;Jang;Opt. Lett.,2004
4. Information authentication using photon-counting double-random-phase encrypted images;Cho;Opt. Lett.,2011
5. Photon counting passive 3D image sensing for automatic target recognition;Yeom;Opt. Express,2005
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