|
|||||
|
|
| 基于微分算子的Eno-haar小波变换及其应用 | |
| 引用本文： | 宋锦萍,杨晓艺,侯玉华.基于微分算子的Eno-haar小波变换及其应用[J].电子与信息学报,2004,26(6):940-944. |
| 作者姓名： | 宋锦萍 杨晓艺 侯玉华 |
| 作者单位： | 河南大学数学与信息科学学院,开封,475001;河南大学数学与信息科学学院,开封,475001;河南大学数学与信息科学学院,开封,475001 |
| 基金项目： | 河南省自然科学基金(2003110004)、河南省高校青年骨干教师基金(G2002016)、河南大学科研基金(xK02069)资助课题 |
| 摘 要： | 该文首先引入微分算子并结合Haar小波的特点，提出了一种遗传性算法，用于2D信号奇异性检测。其次，将该算法与Eno-haar(Essentially non-oscillatory-haar)小波相结合，得到了一种基于微分算子的Eno-haar小波变换算法，并通过仿真实验说明了其在图像压缩中的可行性和有效性。 |
| 关 键 词： | Eno-haar小波变换 微分算子 信号奇异性检测 图像压缩 |
| 文章编号： | 1009-5896(2004)06-0940-05 |
| 收稿时间： | 2003-1-28 |
| 修稿时间： | 2003年1月28日 |
The Eno-haar Wavelet Transforms Based on Differential Operators and Its Application |
|
| Song Jin-ping,Yang Xiao-yi,Hou Yu-hua.The Eno-haar Wavelet Transforms Based on Differential Operators and Its Application[J].Journal of Electronics & Information Technology,2004,26(6):940-944. | |
| Authors: | Song Jin-ping Yang Xiao-yi Hou Yu-hua |
| Affiliation: | College of Mathematics and Information Science, Henan University, Kaifeng 475001, China |
| Abstract: | In this paper, the differential operators are introduced firstly. Then based on the characteristics of Haar wavelet transforms and the differential operators, a transmissibility algorithm is proposed and applied to the singularity measuring of 2D signal. Secondly, a new algorithm called the Eno-haar (Essentially non-oscillatory-haar) wavelet transforms algorithm based on the differential operators is presented. And it is proved by experiments that this algorithm is effective and feasible to image compression. |
| Keywords: | Eno-haar wavelet transforms Differential operators Singularity measuring of the signal" target="_blank">the signal')">Singularity measuring of the signal Image compression |
| 本文献已被 维普 万方数据 等数据库收录！ | |
| 点击此处可从《电子与信息学报》浏览原始摘要信息 | |
| 点击此处可从《电子与信息学报》下载全文 | |