scholarly journals Simple and fast calculation algorithm for computer-generated hologram based on integral imaging using look-up table

2018 ◽  
Vol 26 (10) ◽  
pp. 13322 ◽  
Author(s):  
Zi Wang ◽  
Guoqiang Lv ◽  
Qinbin Feng ◽  
Anting Wang ◽  
Hai Ming
Keyword(s):  
Calculation Algorithm ◽  
Fast Calculation ◽  
Integral Imaging ◽  
Computer Generated Hologram ◽  
Look Up Table

Simple and fast calculation algorithm for computer-generated hologram with wavefront recording plane

2009 ◽  
Vol 34 (20) ◽  
pp. 3133 ◽  
Author(s):  
Tomoyoshi Shimobaba ◽  
Nobuyuki Masuda ◽  
Tomoyoshi Ito
Keyword(s):  
Calculation Algorithm ◽  
Fast Calculation ◽  
Computer Generated Hologram

scholarly journals Simple and effective calculation method for computer-generated hologram based on non-uniform sampling using look-up-table

2019 ◽  
Vol 27 (26) ◽  
pp. 37337 ◽  
Author(s):  
Dapu Pi ◽  
Juan Liu ◽  
Yu Han ◽  
Ata Ur Rahman Khalid ◽  
Shuang Yu
Keyword(s):  
Calculation Method ◽  
Uniform Sampling ◽  
Computer Generated Hologram ◽  
Look Up Table ◽  
Non Uniform Sampling

Computer-Generated Hologram Compression Research Based on BP Neural Network in Wavelet Domain

2014 ◽  
Vol 971-973 ◽  
pp. 1884-1887 ◽  
Author(s):  
A Lin Hou ◽  
Liang Wu ◽  
Qing Liao ◽  
Chong Jin Wang ◽  
Jun Liang Guo ◽  
...  
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Bp Neural Network ◽  
Function Approximation ◽  
Simple Structure ◽  
Inner Product ◽  
Compression Rate ◽  
Wavelet Domain ◽  
Fast Calculation ◽  
Computer Generated Hologram

The algorithm of hologram compression using BP neural network in wavelet domain is proposed. Firstly, computer-generated hologram pretreatment is carried out by wavelet transform. And then the inner product of wavelet and holograms are weighted and used to implement the feature extraction of hologram. Finally, the extracted feature vectors are substituted into neural network so as to implement the function approximation, classification and hologram compression. The experimental results clearly show the feasibility and effectiveness of the method. The compression rate can reach 0.803%and still gets a clear reconstructed image. And the algorithm has the advantages of simple structure and fast calculation speed.

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