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此程序用提升法实现第二代小波变换用的是非整数阶小波变换,采用时域实现,步骤先列后行-procedure used to upgrade Method second generation wavelet transform the non-integer-order wavelet transform, time domain realized, first out go backward steps
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此程序用提升法实现第二代小波变换
我用的是非整数阶小波变换
采用时域实现,步骤先列后行
正变换：分裂，预测，更新；
反变换：更新，预测，合并
只做一层（可以多层，而且每层的预测和更新方程不同）-procedure used to upgrade Method second generation wavelet transform I use a non-integer-order wavelet transform domain when used, the firs
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2代小波示意程序此程序用提升法实现第二代小波变换用的是非整数阶小波变换 -two generation wavelet indicate the procedures used to enhance this procedure law to achieve the second generation wavelet transform the non-integer-order wavelet transform
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用Matlab实现图像的整数小波变换和逆变换，对行和列各做一次，采用最简单的S小波，它是Haar变换的整数形式。此程序代码为逆程序代码-Using Matlab for image wavelet transform and inverse integer transform, the rows and columns to do once the most simple and S-wavelet, which is the integer Haar transform. This progr
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The code implements the following paper:
Guorong Xuan, Jiang Zhu, Jidong Chen, Shi Y.Q., Zhicheng Ni, Wei Su, "Distortionless data hiding based on integer wavelet transform" IET Electronics Letters, Volume: 38, Issue 25, page 1646- 1648, Decembe
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1下载：
此程序用提升法实现第二代小波变换
用的是非整数阶小波变换
采用时域实现,步骤先列后行
正变换：分裂，预测，更新；
反变换：更新，预测，合并
只做一层（可以多层，而且每层的预测和更新方程不同）-This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of
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整数小波变换与图像压缩，逆变换源码，实现行、列逆变换，奇偶行列逆重排-Integer wavelet transform and image compression, inverse transform source code to achieve row, column inverse transform, rearrangement of odd and even ranks of the inverse
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Distortionless data hiding based on integer wavelet transform (Watermark Extraction)
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2代小波示意程序-此程序用提升法实现第二代小波变换-我用的是非整数阶小波变换-采用时域实现,步骤先列后行-2 Generation Wavelet indicated procedures- This procedure is used to upgrade method second generation wavelet transform- I use a non-integer order wavelet transform- time-domain implementation step
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此程序用提升法实现第二代小波变换用的是非整数阶小波变换,采用时域实现,步骤先列后行-procedure used to upgrade Method second generation wavelet transform the non-integer-order wavelet transform, time domain realized, first out go backward steps
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与传统的小波分解相比，提升小波可以实现整数小波变换，其方法与一般去噪法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的。-Compared with the traditional wavelet, lifting wavelet can achieve integer wavelet transform, its the same way as regular de-noising method, are the high-frequency coefficients of wave
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this is transform code for medical images .i.e integer wavelet transform which is used to compress the images
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