This thesis proposes the morphological zerotree compression coding based on integer wavelet transform.
针对于虹膜及指纹的纹理特征，本论文提出了虹膜及指纹图像基于整数小波变换的形态学零树压缩编码算法。
参考来源 - 虹膜及指纹图像基于整数小波变换的形态学零树压缩编码This paper expatiates detailedly wavelet transform and integer-to-integer wavelet transform based on lifting scheme and realization of integer-to-integer lifting wavelet transform is also given, after basic theory of wavelet.
在简要介绍小波变换基本理论后,较详细地阐述了基于提升方法的小波变换和整型小波变换,并对数字图像的整型提升小波变换进行了具体实现。
参考来源 - 基于嵌入式小波与分形的数字图像混合编码研究The integer wavelet transform based on the Lifting Scheme for the medical picture compression is discussed in this paper.
本论文研究了基于提升方案的整型小波变换应用于医学图像压缩，并取得了较好的压缩效果。
参考来源 - 整型小波变换应用于医学图像压缩中的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Integer to integer wavelet transform has a simple structure, needs no more storage space and is very easy to be implemented, which is suitable for image compression.
整数提升小波变换结构简单，不需要额外的存储空间，易于实现，在图像压缩中具有很好的应用价值。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
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