| 1. | The core of decompression is wavelet kernel using by adv611 , that is , two - dimensional bi - orthogonal wavelet transform
解压缩的核心是adv611所用的小波核，即二维正交小波变换。 |
| 2. | Application of two dimension lifting scheme based on invertible biorthogonal wavelet transform in progressively lossless image compression
基于二维提升方案的可逆双正交小波变换在渐进性无损图像压缩中的应用 |
| 3. | Be different from orthogonal wavelet transform , biorthogonal wavelet transform has linear phase and can reconstruct signals exactly
与正交小波变换不同的是,双正交小波变换具有线性相位特性,可以精确地重构图像。 |
| 4. | The image fusion methods using biorthogonal wavelet transform are given , these fusion approaches have been successfully used in image fusion
均采用双正交小波变换实现了上述图像融合方法，这些融合方法已被成功地应用于图像融合。 |
| 5. | Consequently , this paper puts emphasis on the multispectral and panchromatic remote sensing image fusion based on ihs and biorthogonal wavelet transform
因此,本文重点研究基于双正交小波变换和ihs变换的多光谱和全色遥感图像的融合技术。 |
| 6. | The eno - biorthogonal wavelet transforms are fit for compressing the images which contain a great lot jumps , and having good ratio of compression
Eno -双正交小波变换算法非常适合于压缩包含大量剧烈跳跃信息的图像，具有较好的性能压缩比。 |
| 7. | ( 2 ) damage detection based on wavelet transformation using the principle of time - frequency analysis based on orthonormal discrete wavelet transformation , it can detect damage by analyzing how the frequency content of observation signal changes with time
该方法利用基于离散正交小波变换的信号时频分析原理，通过分析观测信号的频谱随着时间的变化情况来检测破损。 |
| 8. | To remove the effects of gibbs ' phenomenon completely , we bring forward an eno - biorthogonal wavelet transforms arithmetic combining with eno method . in this arithmetic , we need n ' t modify the biorthogonal wavelet transforms and the filter coefficients
为消除这种现象，我们采用双正交小波变换结合essentiallynon - oscillatory ( eno )思想，提出了一种eno -双正交小波变换算法。 |
| 9. | This algorithm decomposes and reconstructs a digital image using multi - resolution ratio of wavelet transform , analyzes the design method of compactly supported orthogonal filter , and realizes the image decomposition and reconstruction based on orthogonal wavelet
本算法利用小波变换的多分辨率特性来进行图像的小波域分解和重构，分析了具有紧支集的正交小波变换滤波器的设计原理，实现了基于正交小波的图像分解与重构。 |
| 10. | A novel coding algorithm was presented for still ima ge using biorthogonal wavelet transform . combined with the visibility preaccentua tion before the quantization ， a new data structure named extended q _ tree was pro posed to organize wavelet transformation coefficients . experimental results show that the new algorithm is very practical and with good performance
研究了一种基于双正交小波变换的静止图象编码算法.结合带视觉加权的标量量化技术，提出了一种新的数据结构? ?扩展四叉树，从而实现了一种性能较好、复杂度较低的静止图象编码方案 |
