• Journal of information and communication convergence engineering
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• 제19권2호
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• pp.102-107
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• 2021

In this paper, we propose a new three-dimensional (3D) photon-counting integral imaging reconstruction method using a merging reconstruction process and maximum likelihood estimation (MLE). The conventional 3D photon-counting reconstruction method extracts photons from elemental images using a Poisson random process and estimates the scene using statistical methods such as MLE. However, it can reduce the photon levels because of an average overlapping calculation. Thus, it may not visualize 3D objects in severely low light environments. In addition, it may not generate high-quality reconstructed 3D images when the number of elemental images is insufficient. To solve these problems, we propose a new 3D photon-counting merging reconstruction method using MLE. It can visualize 3D objects without photon-level loss through a proposed overlapping calculation during the reconstruction process. We confirmed the image quality of our proposed method by performing optical experiments.

• 한국광학회:학술대회논문집
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• 한국광학회 2005년도 제16회 정기총회 및 동계학술발표회
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• pp.306-307
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• 2005

• 한국광학회:학술대회논문집
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• 한국광학회 2009년도 창립 20주년기념 특별학술발표회
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• pp.137-138
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• 2009

• 정보과학회지
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• 제29권12호
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• pp.55-61
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• 2011

• Journal of information and communication convergence engineering
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• 제19권3호
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• pp.180-187
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• 2021

In this paper, we present a computational volumetric reconstruction method for three-dimensional (3D) photon counting imaging with enhanced visual quality when low-resolution elemental images are used under photon-starved conditions. In conventional photon counting imaging with low-resolution elemental images, it may be difficult to estimate the 3D scene correctly because of a lack of scene information. In addition, the reconstructed 3D images may be blurred because volumetric computational reconstruction has an averaging effect. In contrast, with our method, the pixels of the elemental image rearrangement technique and a Bayesian approach are used as the reconstruction and estimation methods, respectively. Therefore, our method can enhance the visual quality and estimation accuracy of the reconstructed 3D images because it does not have an averaging effect and uses prior information about the 3D scene. To validate our technique, we performed optical experiments and demonstrated the reconstruction results.

• 한국정보통신학회논문지
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• 제11권5호
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• pp.991-996
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• 2007

최근 3차원 디스플레이 기술로서 유망한 집적 영상 기술을 이용하여 3차원 물체에 대한 컴퓨터 재생 방식이 활발히 연구되고 있다. 이 방식은 집적 영상 기술로 픽업되는 요소 영상을 가상의 핀홀 배열 모델을 이용하여 컴퓨터적으로 특정한 거리의 재생 평면에 확대 중첩함으로서 3차원 영상을 효과적으로 재생하는 방식이다. 그러나 많은 수의 요소 영상은 일반적으로 사각형의 구조를 가지기 때문에 확대 중첩될 경우에 재생 영상에서 격자 구조의 밝기 불균일 문제로 인한 해상도를 떨어뜨리는 문제가 존재하였다. 본 논문에서는 이러한 문제점을 극복하기 위해서 원형 매핑 모델에 기초한 컴퓨터 집적 영상 재생 방식을 제안한다. 제안하는 방식은 기존의 방식에서 발생하는 3차원 재생 영상에서의 불균일 문제를 극복할 수 있으며 3차원 영상의 해상도를 개선할 수 있다. 제안된 방식의 유용함을 보이기 위해서 컴퓨터적 모의 실험과 광학적 실험을 수행하고 그 결과를 보고한다.

• Journal of information and communication convergence engineering
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• 제17권1호
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• pp.60-66
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• 2019

In this paper, we propose a new free-view three-dimensional (3D) computational reconstruction of integral imaging to improve the visual quality of reconstructed 3D images when low-resolution elemental images are used. In a conventional free-view reconstruction, the visual quality of the reconstructed 3D images is insufficient to provide 3D information to applications because of the shift and sum process. In addition, its processing speed is slow. To solve these problems, our proposed method uses a pixel rearrangement technique (PERT) with locally selective elemental images. In general, PERT can reconstruct 3D images with a high visual quality at a fast processing speed. However, PERT cannot provide a free-view reconstruction. Therefore, using our proposed method, free-view reconstructed 3D images with high visual qualities can be generated when low-resolution elemental images are used. To show the feasibility of our proposed method, we applied it to optical experiments.

• Journal of the Optical Society of Korea
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• 제8권2호
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• pp.65-71
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• 2004

In this paper, we analyze the limitation on the expressible depth range that is one major problem of integral imaging. We provide the explanation that exactly predicts the experimental results and the way to evaluate the expressible depth range numerically. We also give the design method for the multi-central depth plane integral imaging system. Finally, we will show the experimental results for verification.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
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• pp.259-262
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• 2004

We propose novel schemes to enhance the expressible depth range of integral imaging. The implemented system that adopts the mirror barrier array has the compact thickness that is suitable for the practical use. With this system, the expressible depth range of the integral imaging is increased to over 120mm. The system that eliminates the mechanical motion also had been implemented. Experimental results are presented and the way to resolve the problem of occlusion is also discussed.

• Journal of the Optical Society of Korea
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• 제16권1호
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• pp.29-35
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• 2012

We propose a subpixel scale elemental image generation method to correct the errors created by finite display pixel size in integral imaging. In this paper, two errors are mainly discussed: pickup-and-display mismatch error and mismatch error between pixel pitch and lens pitch. The proposed method considers the relative positions between lenses and pixels in subpixel scale. Our proposed pickup method calculates the position parameters, generates an elemental image with pixels completely inside the lens, and generates an elemental image with border pixels using a weighted sum method. Appropriate experiments are presented to verify the validity of the proposed method.