| 基于人的视觉系统的小波性能评价 |
| |
| 引用本文： | 胡海平,莫玉龙.基于人的视觉系统的小波性能评价[J].上海大学学报(英文版),2002,6(3):216-220. |
| |
| 作者姓名： | 胡海平 莫玉龙 |
| |
| 作者单位： | [1]DepertmentofMathematics,CollegeofSciences,ShanghaiUniversity,Shanghai200436,China [2]SchoolofCommunicationandInformationEngineering,ShanghaiUniversity,Shanghai200072,China |
| |
| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationof China (69875 0 0 9) |
| |
| 摘 要： | We have constructed a compactly supported biorthogonal wavelet that approximates the modulation transfer function(MTF) of human visual system in the frequency domain.In this paper,we evaluate performance of the constructed wavelet,and compare it with the widely used Daubechies9-7,Daubechies 9-3 and GBCW-9-7 wavelets.The result shows that coding performance of the constructed wavelet is better than Daubechies9-3,and is competitive with Daubechies 9-7 and GBCW-9-7 wavelets.Like Dauechies 9-3 wavelet,the filter coefficients of the constructed waveklet are all dyadic fractions,and the tap is less than Daubechies 9-7 and GBOW 9-7,It has an attractive feature in the realization of discrete wavelet transform.
|
| 关 键 词： | 数字图象处理 小波变换 人视觉系统 性能估算 |
| 收稿时间： | 1 November 2001 |
Performance evaluation of wavelet based on human visual system |
| |
| Hai-Ping Hu Ph. D. Candidate,Yu-Long Mo.Performance evaluation of wavelet based on human visual system[J].Journal of Shanghai University(English Edition),2002,6(3):216-220. |
| |
| Authors: | Hai-Ping Hu Ph D Candidate Yu-Long Mo |
| |
| Institution: | 1. Depertment of mathematics, College of Sciences, Shanghai University, Shanghai 200436, China
2. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China |
| |
| Abstract: | We have constructed a compactly supported biorthogonal wavelet that approximates the modulation transfer function (MTF) of human visual system in the frequency domain. In this paper, we evaluate performance of the constructed wavelet, and compare it with the widely used Daubechies 9 7, Daubechies 9 3 and GBCW 9 7 wavelets. The result shows that coding performance of the constructed wavelet is better than Daubechies 9 3, and is competitive with Daubechies 9 7 and GBCW 9 7 wavelets. Like Daubechies 9 3 wavelet, the filter coefficients of the constructed wavelet are all dyadic fractions, and the tap is less than Daubechies 9 7 and GBCW 9 7. It has an attractive feature in the realization of discrete wavelet transform. |
| |
| Keywords: | biorthogonal wavelet regularity peak to peak ratio weighted subband coding gain |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
|
