• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.10 s.352
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• pp.22-27
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• 2006

In this paper, we propose a method that can generate a computer-generated hologram (CGH) from the depth stream and color image outputs provided by an active sensor add-on camera. Distinguished from an existing holographic display system that uses a computer graphic model to generate CGH, this method utilizes a real camera image including a depth information for each object captured by the camera, as well as color information. This procedure consists of two steps that the acquirement of a depth-annotated image of real object, and generation of CGH according to the 3D information that is extracted from the depth cue. In addition, we display the generated CGH via a holographic display system. In experimental system we reconstruct an image made from CGH with a reflective LCD panel that had a pixel-pitch of 10.4um and resolution of 1408X1050.

• Korean Journal of Optics and Photonics
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• v.28 no.4
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• pp.146-152
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• 2017

Alignment of the mirrors composing a space telescope is an important process for obtaining high optical resolution and performance of the camera system. The alignment of mirrors using cube mirrors requires a relative coordinate mapping between the mirror and the cube mirror before optical-system integration. Therefore, to align the spacecraft camera mirrors, the relative coordinates of the vertex of each mirror and the corresponding cube mirror must be accurately measured. This paper proposes a new method for finding the vertex position of a primary mirror, by using an optical fiber and alignment segments of a computer-generated hologram (CGH). The measurement system is composed of an optical testing interferometer and a multimode optical fiber. We used two theodolites to measure the relative coordinates of the optical fiber located at the mirror vertex with respect to the cube mirror, and achieved a measurement precision of better than $25{\mu}m$.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1283-1288
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• 2009

In general, a 3D computer graphic model is being used to generate a digital hologram as theinput information because the 3D information of an object can be extracted from a 3D model, easily. The 3D information of a real scene can be extracted by using a depth camera. The 3D information, point cloud, corresponding to real scene is extracted from a taken image pair, a gray texture and a depth map, by a depth camera. The extracted point cloud is used to generate a digital hologram as input information. The digital hologram is generated by using the coherent holographic stereogram, which is a fast digital hologram generation algorithm based on segmentation. The generated digital hologram using the taken image pair by a depth camera is reconstructed by the Fresnel approximation. By this method, the digital hologram corresponding to a real scene or a real object could be generated by using the fast digital hologram generation algorithm. Furthermore, experimental results are satisfactory.

• Korean Journal of Optics and Photonics
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• v.16 no.2
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• pp.128-132
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• 2005

Most CGH programs use a model equation based on the diffraction angle. Therefore, if the diffraction angle is large enough, the image on a flat screen is distorted. To correct the distortion, we created the model equation from diffraction theory and verified it through experiment. We also suggest a design method that compensates for the distortion without changing the CGH program.

• ETRI Journal
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• v.41 no.1
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• pp.52-60
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• 2019

A fast hologram calculation approach is proposed to reduce computational load by avoiding the recalculation of redundancy information. In the proposed method, the hologram is divided into several sub-holograms that record and reconstruct different views of 3D objects. The sub-hologram is generated from its adjacent calculated sub-holograms by only adding the holograms of difference images between an adjacent pair of views. The repetitive information of two adjacent views is called angular redundancy. Therefore, avoiding the recalculation of this angular redundancy can considerably reduce the computational load. Experimental results confirm that the proposed method can reduce the computational time for the statue head, rabbits, and car to 4.73%, 6.67%, and 10.4%, respectively, for uniform intensity, and to 56.34%, 57.9%, and 66.24%, respectively, for 256 levels intensity, when compared to conventional methods.

• Korean Journal of Optics and Photonics
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• v.19 no.5
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• pp.360-364
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• 2008

The diffraction efficiencies of gratings are affected by the inner structure which is determined by modulation type. CGH (Computer generated Hologram) basically uses the principles of a diffraction grating. As like as the diffraction gratings the patterns recorded in the CGH are different according to modulation methods which result in the performances of the reconstructed images. In this paper, on this fact CGHs are recorded according to sinusoidal and rectangular modulation methods and the characteristics of reconstructed images are analyzed. Also the reconstruction performances of the amplitude and phase, phase-only and binary phase CGH are analyzed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.571-572
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• 2020

3D 디스플레이 산업에 있어서 홀로그램의 상용화는 여전히 많은 문제점을 가지고 있다. Computer Generated Hologram(CGH)은 홀로그램 분야 중에서도 3D 물체를 생성하는데 여러 가지 강점을 가지고 있지만 큰 해상도를 가진 CGH를 생성하는데 많은 연산시간이 걸려 상업화에 걸림돌이 되고 있다. 이 논문에서는 이를 해결하기 위하여 오목 렌즈 함수를 이용한 초 고해상도 CGH를 생성하는 알고리즘을 이용하여 초 고해상도 홀로그램을 생성하는 방법을 제안하였다. 초 고해상도 CGH를 생성하기 위하여 필요한 일반적인 방법으로 실제로 계산해야 될 CGH의 크기는 4 메가픽셀(2k X 2k) 수준의 저해상도로서, 저사양의 컴퓨터로서도 충분히 빠르고 부담 없이 계산해낼 수 있는 사이즈이다. 생성된 CGH로 Array를 형성한 후, 해당 위치에 알맞은 임의의 오목 렌즈 함수를 곱해줌으로서 임의의 크기 및 복원 거리를 가지는 초고해상도 CGH를 생성할 수 있음을 확인하였다.

• Journal of Broadcast Engineering
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• v.28 no.1
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• pp.3-20
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• 2023

A computer-generated hologram (CGH) is a digitally calculated and recorded hologram in which the amplitude and phase information of an image is transmitted in free space. The CGH is in the form of a complex hologram, but it is converted into a phase-only hologram to display through a phase-only spatial light modulator (SLM). In this paper, in the process of including the amplitude information of an object in the phase information, when a technique that includes subsampling such as DPAC is used, we showed experimentally that the bandwidth of the phase-only hologram increases, and as a result, aliasing that was not present in the complex hologram can occur. In addition, it was experimentally shown that it is possible to generate a high-quality phase-only hologram by restricting the spatial frequency range even at a distance where the numerical reconstruction performance is degraded by aliasing.

• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.706-717
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• 2015

The computer generated hologram (CGH) method is the technology which can generate a hologram by using only a personal computer (PC) commonly used. However, the CGH method requires a huge amount of calculational time for the 3D object with a super multi-light source or a high-definition hologram. Hence, some solutions are obviously necessary for reducing the computational complexity of a CGH algorithm or increasing the computing performance of hardware. In this paper, we propose a method which can generate a digital hologram of the 3D object with a super multi-light source using parallel distributed computing. The traditional methods has the limitation of improving CGH performance by using a single PC. However, the proposed method where a server PC efficiently uses the computing power of client PCs can quickly calculate the CGH method for 3D object with super multi-light source. In the experimental result, we verified that the proposed method can generate the digital hologram with 1,5361,536 resolution size of 3D object with 157,771 light source in 121 ms. In addition, in the proposed method, we verify that the proposed method can reduce generation time of a digital hologram in proportion to the number of client PCs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1296-1302
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• 2009

We propose an efficient coding method of digital holograms using MCTF and standard compression tools for video. The hologram is generated by a computer-generated hologram (CGH) algorithm with both an object image and its depth information. The proposed coding consists of localization by segmenting a hologram, frequency transform using $64\times64$ segment size, 2-D discrete cosine transform DCT for extracting redundancy, motion compensated temporal filtering (MCTF), segment scanning the segmented hologram to form a video sequence, and video coding, which uses H.264/AVC. The proposed algorithm illustrates that it has better properties for reconstruction, 10% higher compression rate than previous research in case of object.