吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 21-24.

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Compression algorithm of computer-generated hologram based on artificial neural network

HOU A-lin, LIAO Qing, JIN Zhi-juan, CHEN Juan, GENG Ying   

  1. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2012-05-20 Published:2013-06-01

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Abstract:

Due to the information of computer-generated hologram is too enormous to transmit and store,a hologram compression algorithm was proposed based on artificial neural network.A set of training sample made of multi-dimensional vectors was obtained by preprocessing and used to train the neural network.The neuron numbers in input layer and hidden layer was adjusted so that the data volume of computer-generated hologram can be compressed with various ratios in both layers.Experimental results demonstrate that the proposed algorithm is uncomplicated and rapid.In addition,it has better self-adaptation and intelligent.The reconstructed image is obtained with relative large compression ratio and the quality is satisfied.

Key words: computer-generated hologram, image compression, artificial neural network

CLC Number: 

  • O438.1

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