双正交小波变换的英文

• bi-orthogonal wavelet transformation

• "双"英文翻译    two; twin; both; dual
• "正交"英文翻译    orthogonal; perpendicular; n ...
• "小"英文翻译    small; little; petty; minor
• "波"英文翻译    wave
• "变换"英文翻译    vary; alternate; commutation ...
• "正交小波变换" 英文翻译 :    orthogonal wavelet transformation
• "小波变换" 英文翻译 :    wavelet transformation
• "二元小波变换" 英文翻译 :    dyadic wavelet transformation
• "快速小波变换" 英文翻译 :    fwt
• "离散小波变换" 英文翻译 :    alfréd haar; dwt discrete wavelet transform
• "连续小波变换" 英文翻译 :    continuous wavelet transform
• "双元小波变换" 英文翻译 :    dyadic wavelet transformation
• "正交子波变换" 英文翻译 :    orthogonal wavelet transformation
• "小波变换图像压缩标准" 英文翻译 :    wavelet-transform joint photographic experts group
• "双正交" 英文翻译 :    biorthognal
• "基于离散小波变换的多分辨率无缝" 英文翻译 :    multiresolution seamless image database
• "双正交的" 英文翻译 :    biorthogonal
• "双正交关系" 英文翻译 :    biorthogonality relation
• "双正交码" 英文翻译 :    biorthogonal code
• "双正交系" 英文翻译 :    biorthogonal system
• "双正交系统" 英文翻译 :    biorthogonal system
• "双正交信号" 英文翻译 :    biorthogonal signal
• "双正交性" 英文翻译 :    biorthogonality
• "双正则变换" 英文翻译 :    biregular transformation
• "双正交天线阵" 英文翻译 :    binomial antenna array

• 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
• 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。
• 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。
• 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。
• 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。
• 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。
• 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
• In forward algorithm , we according to the high level coefficients to locate the jumps and modify the coarser level coefficients , which relate with the jumps . in inverse transforms algorithm , according to the locations to modify the datum , which relate with the jumps . we can reconstruct the image well by using this algorithm , and avoid the gibbs " phenomenon completely
  该算法不必修改双正交小波变换及其滤波器系数，在小波图像分解时只是根据高频小波系数定位图像的跳跃处，修改关联跳跃处的粗尺度小波系数；重构时根据算法修改关联跳跃处的重构数据，就能很好地重构原图像，并从本质上消除了gibbs ’现象。
• To solve this inconsistency effectively , we don ’ t confine to one single fusion method or wavelet coefficients fusion rule , but combine them together and improve them . we consider several eigenvectors of the input images synthetically , and use the discrete biorthogonal wavelet transform at the lowest decomposition level to fulfill the new cwt - ihs multisensor remote sensing image fusion algorithm based on color compensation rule
  为了有效地解决这一矛盾,本文不局限于单一的图像融合方法和小波系数融合规则,而是将各种方法和规则结合起来并加以改进,综合考虑输入图像的多个特征向量,用最低层的离散双正交小波变换实现了一种新的基于颜色补偿的cwt - ihs多源卫星遥感图像融合算法。
• A new remote sensing image coding scheme based on the biorthogonal wavelet transform and revised spiht algorithm is proposed according to the statistical characteristic of remote sensing image data . the experimental results show that the proposed scheme could largely speed up the encoding process and reduce computational complexity on condition that reconstructed image quality is sacrificed little . meanwhile , this scheme has advantage over other algorithms in real time encoding
  本文针对遥感图像的数据特点，提出了结合双正交小波变换和改进spiht算法的内嵌小波编码方案.实验结果表明，本文的方法能够在几乎不降低恢复图像质量的前提下降低了计算复杂度，提高了编码速度，有利于实时编码