An Approach to Compress Information of Computer-Synthesis Hologram with Shape Adaptive Binary Tree Predictive Coding and Fast Fourier Transform Technique

抄録

A new system of Computer Synthesis Hologram (CSH) compressed and transmitted and reconstructed has been established with Shape Adaptive Binary Tree Predictive Coding (SA-BTPC) and Fast Fourier Transform (FFT) technique. In this system, the photographs can be directly calculated into the digital hologram using the holographic principle of D. Gabor. In coding, SA-BTPC algorithm adapts a non-causal, shape-adaptive predictor to decompose a digital hologram into a binary tree of prediction errors and zero blocks. Thus its coding speed is faster than JPEG baseline processing for loss compression scheme. In experiments, when its compression ratio is achieved to 0.4683% for "lossy" compression, the image lineament shape of processed CSH still can be effectively reconstructed by FFT. Moreover, the reasons have been explained why the shape adaptive predictive coding algorithm is chosen to process CSH. And the reconstructed image information of processed CSH has been compared with the reconstructed image information of original CSH. Finally, Compression ratio (R), Mean squared error (MSE) and Pear signal to noise ratio (PSNR) have been precisely calculated and analyzed to evaluate the reconstructed images variation of processed CSH. The better predictive coding model for processing digital hologram can be determined by the distortion measure.