| 基于小波变换的数字图像压缩 |
| |
| 引用本文： | 周华,;马耀锋,;魏耀武. 基于小波变换的数字图像压缩[J]. 齐齐哈尔轻工业学院学报, 2008, 0(2): 52-56 |
| |
| 作者姓名： | 周华, 马耀锋, 魏耀武 |
| |
| 作者单位： | [1]中州大学教务处,郑州450044; [2]中州大学信息工程学院,郑州450044; [3]郑州大学信息网络省重点学科开放实验室,郑州450001; [4]郑州大学信息工程学院,郑州450001; [5]河南工程学院管理工程系,郑州451191 |
| |
| 摘 要： | 利用小波图像系数特点,实现高效压缩编码,给出了小波图像系数统计数据实例,然后对基于小波变换的嵌入式图像编码方法中最具代表性的SPIHT编码算法的原理进行了分析,并通过实验对SPIHT算法进行了性能分析及其改进,并给出了实验结果。
|
| 关 键 词： | 图像压缩 小波变换 SPIHT |
Research about coding algorithms of image compression based on wavelet transformation |
| |
| Affiliation: | ZHOU Hua, MA Yao-feng, WEI Yao-wu(1 a. Academic Affairs Office of Zhongzhou University, Zhengzhou 450044,China; 1 b. School of Information Engineering, Zhongzhou University, Zhengzhou 450044,China; 2a. Henan Provincial Key Lab on Information Networking, Zhengzhou University, Zhengzhou 450001, China; 2b.School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 3. Management Engineering Department of Henan Institute of Technology, Zhengzhou 451191, China) |
| |
| Abstract: | Using the features of wavelet image Coefficients, realized high efficiency image compression. The examples of the wavelet image coefficients statistic are given. The SPIHT is the representative method of embedded image coding algorithms based on wavelet transform. In this paper, the main principle is analysed and compared, and the performance of SPIHT algorithm is analysed and improved by experiment. |
| |
| Keywords: | image compression wavelet transform SPIHT |
| 本文献已被 维普 等数据库收录！ |
|
