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。
Data were embedded into the Least Significant Bit-plane (LSB) of high frequency CDF (2, 2) integer wavelet coefficients, which accorded with the principle of Human Visual System (HVS).
在图像的小波子带系数的最低位(LSB)嵌入隐藏数据，将数据嵌入到小波cdf(2,2)的高频子带系数中，符合人的视觉系统原理(HVS)。
Data were embedded into the Least Significant Bit-plane (LSB) of high frequency CDF (2, 2) integer wavelet coefficients, which accorded with the principle of Human Visual System (HVS).
在图像的小波子带系数的最低位(LSB)嵌入隐藏数据，将数据嵌入到小波cdf(2,2)的高频子带系数中，符合人的视觉系统原理(HVS)。
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