Research of Image Compression Based on Optical Wavelet Transform

The light-path structure and principle of optical wavelet transform is introduced in this paper. It is realized by using 4f optical information processing system. As optical wavelet transform utilizes the parallel computation of optical elements, it features high conversion speed. And it is applied extensively in vision systems such as pattern recognition, image feature extraction, image edge enhancement etc. But there is no obvious progress in the research of image compression. In this paper, we analyze the requirements of optical system in image compression based on optical wavelet transform. The requirements are mainly about the performance of light source, light-path structure, optical elements and filter. And some improved measurements are put forward according to present problems. First, the method of determining focuses of lens and how to use Talbot effect to locate the object plane and spectrum plane are given. Second, the use of reflecting 4f system is put forward to decrease chromatic aberration and noise in optical wavelet transform. Third, adopt liquid crystal light valve and spatial light modulator to strengthen flexibility and practicability. Finally, we analyze the merits of using white light information processing system for image compression. This paper gives new research paths for the realization of image compression by optical wavelet transform. And we have already obtained some experimental results which are good for further research