• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.444-446
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• 2015

컴퓨터 생성 홀로그램(CGH: computer generated hologram) 기법은 기존의 홀로그램의 광학적 장치의 단점을 보완하여 범용 컴퓨터에서 홀로그램을 생성할 수 있도록 하는 기술이다. CGH는 입력으로 주어지는 물체의 3차원 정보와 출력으로 나오는 디지털 홀로그램의 해상도에 따라 그 연산량이 결정 된다. CGH는 단순하고 반복적인 수학적 계산을 통하여 디지털 홀로그램을 생성하게 되는데, 기존의 연구들에서는 GPU(graphic processing unit)를 이용하여 알고리즘들을 병렬적으로 처리한다. 본 논문에서는 기존연구에서 쓰인 GPU를 이용한 CGH을 개선하여 GPU가 장착되지 않은 상용 컴퓨터에서 GPU가 장착된 다른 컴퓨터들의 연산 자원을 활용하여 CGH를 수행 할 수 있는 프로그램의 개발 방법을 제안 한다. 본 시스템은 GPU가 요구되지 않는 한 개의 서버 컴퓨터와 GPU가 장착된 다수의 클라이언트들로 구성되어 있다. 서버 측에서 물체의 3차원 정보를 입력 받아 각각의 클라이언트들에게 적절한 연산량을 분배하고, 각 클라이언트들은 이미 알려진 GPU 기반 CGH를 통하여 연산을 수행 한 뒤, 그 결과를 서버로 다시 전송하게 된다. 서버는 수신한 각 결과들을 누적하여 입력 받은 물체에 대한 하나의 온전한 홀로그램을 생성할 수 있게 된다.

• Proceedings of the Optical Society of Korea Conference
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• 2001.08a
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• pp.52-53
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• 2001

No Abstract.See Full-text

• Proceedings of the Optical Society of Korea Conference
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• 2001.08a
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• pp.78-79
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• 2001

• Proceedings of the Optical Society of Korea Conference
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• 1997.08a
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• pp.40-40
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• 1997

• Journal of Broadcast Engineering
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• v.28 no.1
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• pp.31-41
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• 2023

Directly converting the focal depth and image size of computer-generated-hologram (CGH), which is obtained by calculating the interference pattern of light from the 3D image, is known to be quite difficult because of the less similarity between the CGH and the original image. This paper proposes a method for separately converting the each of focal length of the given CGH, which is composed of multi-depth images. Firstly, the proposed technique converts the 3D image reproduced from the CGH into a Light-Field (LF) image composed of a set of 2D images observed from various angles, and the positions of the moving objects for each observed views are checked using an object detection algorithm YOLOv5 (You-Only-Look-Once-version-5). After that, by adjusting the positions of objects, the depth-transformed LF image and CGH are generated. Numerical simulations and experimental results show that the proposed technique can change the focal length within a range of about 3 cm without significant loss of the image quality when applied to the image which have original depth of 10 cm, with a spatial light modulator which has a pixel size of 3.6 ㎛ and a resolution of 3840⨯2160.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1177-1186
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• 2014

Computer-generated hologram (CGH) is to mathematically model optical phenomenon with digital computer. Because it requires huge amount of computational power, a fast and high performance technique is needed. In this paper, we proposed two parallelizations for CGH calculation. The first is to parallelize CGH algorithm in a GPU (general processing unit) and the second is to parallelize multiple GPUs. The proposed algorithm was implemented in GTX780 Ti GPU. It calculates a $1,024{\times}1,024$ hologram with 10K object points for about 24ms.

• Journal of Broadcast Engineering
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• v.16 no.6
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• pp.1009-1017
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• 2011

Fast generation of digital hologram is of importance for real-time holography broadcasting. In this paper, we propose such a method that parallelizes the Computer-Generated Holography (CGH) algorithm for digital hologram generation and make it faster using Multi Graphic Processing Unit (Multi-GPU) with help of the Compute Unified Device Architecture (CUDA) and the Open Multi-Processing (OpenMP). In addition, we propose optimization methods such as fixation variable, vectorization, and loop unrolling for making the CGH algorithm much faster. Experimental results show that our method is about 9,700 times faster than a CPU-based one.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.32 no.3
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• pp.216-221
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• 2006

Cyclosporin A-induced gingival hyperplasia is frequently found in the patients who have been received an immunosuppressant for the organ transplantation. However, its exact mechanism is still unknown. The expression of FGF-5 and FGF-7 were studied in cyclosporine A-induced gingival hyperplasia (CGH) and inflammatory gingival hyperplasia (IGH). Immunohistochemistry and in situ hybridization were used for localization of protein and mRNA. The expression of FGF-5 and FGF-7 was different from CGH and IGH. FGF-5 and FGF-7 was strongly expressed in fibroblast in CGH (P<0.005 and P<0.05, respectively). FGF-5 mRNA was localized in the middle portion of connective tissue. FGF-7 mRNA was also identified in fibroblasts and mast cells. In conclusion, FGF-5 and FGF-7 were produced excessively by fibroblasts in CGH. Considering their known functions, their expression in CGH is important for production of collagen and proliferation of fibroblasts.

• Proceedings of the Optical Society of Korea Conference
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• 2007.02a
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• pp.167-168
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• 2007

A novel holographic demultiplexer with multi-group has been firstly proposed and experimentally demonstrated using optimized CGH by genetic algorithm. For experimental demonstrations, a LCOS with 8.1um pixel size and spatial resolution of 1920X1200 is used.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.349-350
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• 2007

This paper propose an efficient computational method for CGH suitable for hardware design. Proposed method can compute a phase on a digital hologram by addition. In future studies, we are planning to develop a dedicated H/W processor for real-time hologram display.