Abstract:

The algorithm of wavelet neural network was presented to compress the data of computergenerated hologram  which has much more information and is difficult to raise compression rate. The method can adaptively adjust and process the nonlinear hologram with a strong ability of nonlinear mapping and functional approximation, so that it can greatly reduce the redundancy of information. The obtained compression rate is as low as 156% in the experiments, and at this time the reconstructed image is relatively clear with small distortion. Compared with several current compression algorithms, the proposed hologram compression method of wavelet neural network is feasible and more effective with regard to those holograms with low compression rate.

Key words: computergenerated hologram, image compression, wavelet analysis, wavelet neural network