基于双密度双树复小波变换的图像压缩

Image Compression Based on Dual Density Dual Tree Complex Wavelet Transform

摘要: 随着多媒体信息技术的高速发展，产生了极其庞大的图像数据。当对这些数量庞大的图像数据进行存储和传送时，利用图像压缩编码技术减少其数据量是很有必要的。本文的研究目的是寻找一种压缩质量较好的图像压缩方法。本文在小波变换与图像压缩的理论基础上进行研究，提出了基于双密度双树复小波变换的图像压缩方法，通过Matlab仿真实验得出了实验结果的比较和分析，最终确认了该方法相比传统的图像压缩方法对图像的压缩质量有明显的优化。

Abstract: With the rapid development of multimedia information technology, the extremely large image data is produced. When these massive image data are stored and transmitted, it is necessary to use image compression coding technology to reduce the amount of data. The purpose of this study is to find a method of a better quality of compressed image. The paper is based on the theory of wavelet transform and image compression, and an image compression method based on dual-density du-al-tree complex wavelet transform is proposed. According to MATLAB simulation, experimental results are given. Finally, it is confirmed that this method has obvious optimization compared with the traditional image compression method for image compression quality.