小波图像压缩数据量大，实现需时较长。本文将光学小波变换技术应用于图像数据压缩，分析光学小波变换系统和光学小波变换系数特点，对相关量化编码方案进行仿真实验，提出适用于光学系统的压缩方案，并实现光学小波变换的有损压缩。通过分析光学系统对量化编码噪声的容许程度，提出光学系统的近无损压缩方法。实验结果表明，近无损压缩重建图像与经光学小波变换直接重建图像相比，PSNR 仅有0.1dB 的差异，视觉上没有明显差异。

Since the wavelet transformation caused a great deal of data and occupies a long time, image data compression on optical system was realized. The characteristics of optical system and optical wavelet coefficients were analyzed in detail and simulation was done on several quantization encoding methods. Then, appropriate compression method was put forward and lossy compression was realized. In addition, by analyzing the endurance to quantity noise of optical system, an important conclusion was achieved that the ideas of nearly lossless compression was sparked. Experimental results show that, compared with the directly reconstructed image, the PSNR of nearly lossless reconstructed image is only 0.1 dB, and there is no significant difference in vision.