基于小波的图像压缩方法研究

he images got from the underground are often larger and limited by the transmission network bandwidth , which , on one hand , are time-consuming when directly uploaded , on the other hand , the process of underground images acquisition and transmission inevitably are mixed with noise , resulting in decreased image quality . Based on the above discussion , the purpose of the research focuses on the compression of images , especially on the embedded zero-tree coding (EZW) , also the paper analyzes the principle and the implementation process , combines the visual characteristics of underground images and the physiological characteristics of human visual to improve the EZW algorithm , discourses its feasibility theoretically and Verifies the improved performance of the algorithm by the simulation experiment.