Information Compressed and Transmitted and Reconstructed System of CGH with LOCO-I Image Processing and Fraunhofer Transforming Technique

Abstract

In this paper, the information compressed and transmitted and reconstructed software system (ICTRS) of Computer generated hologram (CGH) has been designed and established which can be widely applied by computer operators. This system structure can be applied to resolve the remote signal processing using the digital filter of CGH. It is a new system structure, and the size of image displayed is bigger (i.e., 7.11×7.11 (inc²)) In this system, LOCO-I image encoding technique and the image reconstruction technique using Fraunhofer transforming algorithm have been adapted. This processing method is a “lossless” or “near-lossless” compression algorithm whose compression ratio can be achieved to 1:5 (i.e., the compression ratio is 18.7806%), and the image of processed CGH can be effectively reconstructed by a computer. In experiments, we have mainly discussed and analyzed the amplitude and phase variation of CGH's pixels. In detail, we have explained why the image quality of processed CGH can be influenced by the pixel's amplitude and phase varied. The image quality of processed CGH has been compared with the image quality of original CGH, and the reconstructed image quality of processed CGH has been compared with the reconstructed image quality of original CGH in ICTRS. 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 quality of processed CGH and the image quality of processed CGH. The better compression and transmission and reconstruction algorithm model of CGH can be determined by the distortion measure. In this system, the image quality of processed CGH has been relatively improved. This method of processing CGH has been effectively verified by experiments.