rainbow hologram
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2021 ◽  
Vol 11 (23) ◽  
pp. 11468
Author(s):  
Sergey Shoydin ◽  
Sergey Odinokov ◽  
Artem Pazoev ◽  
Ivan Tsyganov ◽  
Ekaterina Drozdova

The paper presents experimental results on the recording and restoration of 3D holographic frames suitable for transmitting 3D holographic images with the frame rate required for TV images and a resolution of the Full HD standard and higher. The Patent RF No. 2707582 proposed a method for compressing holographic information and transmitting it using a procedure similar to SSB over conventional communication channels. In this work, the holographic information of a 3D portrait of a person, transmitted and received via the Wi-Fi communication channel, was restored in the form of a rainbow hologram, as one of a variety of holograms, by the computer addition of the carrier spatial frequency, and then hologram was actually produced on a photoresist. This technology can be used to create a holographic phototelegraph or, if there is a dynamic holographic display, to create a holographic television and 3D augmented reality.



Author(s):  
Xin Yang ◽  
Fuyang Xu ◽  
Qiang Song ◽  
Guobin Ma


2019 ◽  
Vol 21 (2) ◽  
pp. 025601 ◽  
Author(s):  
Xin Yang ◽  
Hui Wang ◽  
Yong Li ◽  
FuYang Xu ◽  
HongBo Zhang ◽  
...  


2018 ◽  
Vol 8 (10) ◽  
pp. 1955 ◽  
Author(s):  
Takeshi Yamaguchi ◽  
Hiroshi Yoshikawa

We have developed an output device for a computer-generated hologram (CGH) named a fringe printer, which can output a 0.35- μ m plane-type hologram. We also proposed several CGH with a fringe printer. A computer-generated rainbow hologram (CGRH), which can reconstruct a full color 3D image, is one of our proposed CGH. The resolution of CGRH becomes huge (over 50 Gpixels) due to improvement of the fringe printer. In the calculation, it is difficult to calculate the whole fringe pattern of CGRH at the same time by a general PC. Furthermore, since the fine pixel pitch provides a wide viewing angle in CGRH, object data, which are used in fringe calculation, should be created from many viewpoints to provide a proper hidden surface removal process. The fringe pattern of CGRH is calculated in each horizontal block. Therefore, the object data from several view points should be organized for efficient computation. This paper describes the calculation algorithm for huge resolution CGRH and its output results.



2018 ◽  
Vol 45 (3) ◽  
pp. 0309001
Author(s):  
杨鑫 Yang Xin ◽  
王辉 Wang Hui ◽  
李勇 Li Yong ◽  
李志光 Li Zhiguang


2015 ◽  
Vol 22 (5) ◽  
pp. 841-843 ◽  
Author(s):  
Jiao Shuming ◽  
Hiroshi Yoshikawa




2014 ◽  
Author(s):  
Takeshi Yamaguchi ◽  
Hiroshi Yoshikawa


2014 ◽  
Vol 40 (3) ◽  
pp. 205-208
Author(s):  
甘亮勤 GAN Liangqin ◽  
曾胜财 ZENG Shengcai ◽  
杨上供 YANG Shanggong


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