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Wavelet Compression and Matched Filters, reads in and compresses the fingerprint images with a biorthogonal discrete wavelet transform
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二值图像压缩,双正交样条小波变换实例源码及解析-Binary image compression, biorthogonal spline wavelet transform source code examples and analysis
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本程序实现任意偶数大小图像第二代双正交提升小波变换.可用。-This program to any even size image of the second generation biorthogonal lifting wavelet transform. Available
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首先,给出了对应于多重多分辨分析的双正交多小波包的定义,建立了具有任意矩阵伸缩的双正交多小波包的理论框架.在此基础上,给出了具有有任意矩阵伸缩的高维不可分双正交多小波包的构造方法.由此构造的多小波包的分分解系数能从不同的滤波器中抽取,这使的小波包的应用更灵活.
-Firstly, the definition of biorthogonal multi-wavelet packet corresponding to multiple multi-resolution analysis, th
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MakeBSFilter产生完全重构双正交对称滤波器MakeBBSWavelet产生双正交对称小波与尺度函数的图形
-MakeBSFilter produce completely refactor the dual orthogonal symmetric filter MakeBBSWavelet generate biorthogonal symmetric wavelet and scaling function graphics
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在对原图像进行双正交7/9三级小波分解后 ,在第二级的水平、垂直直、对角和第三级对角分量上加入水印系数,再经过小波反变换重构出图像。
-After the original image biorthogonal 7/9 three wavelet decomposition, at the level of the second stage, the vertical straight, diagonal and the third stage, added to the angular c
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本程序源码实现任意偶数大小图像第二代双正交97提升小波变换注1: 使用标准正交方法,对行列使用不同矩阵(与matlab里不同)注2: 为了保证正交,全部边界处理,全部使用循环处理注3: 正交性验验证,将单位位阵带入函数,输出仍是单位阵(matlab不具有此性质)注4: 此程序源码是矩阵实现,所以图像水平分量与垂直分量估计被交换位置注5: 此程序源码实现的是类小波(wavelet 可直接使
-The program source code to achieve any even size im
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双正交9/7小波变换matllab源码和使用介绍
-Biorthogonal 9/7 wavelet transform matllab source and use introduced
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任意偶数大小图像第二代双正交97提升小波变换-Any even-size image biorthogonal 97 lifting wavelet transform
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计算10阶频域传输函数极点及系数来近似双正交coiflet小波尺度函数波形-Computing 10 poles of frequency domain transfer function and coefficient to approximate biorthogonal coiflet wavelet scale function waveform
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matlab 做的双正交小波变换,用于图像压缩处理(仅供大家参考)-biorthogonal digital wavelet transform by using matlab,for digital image compression and processing
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In this paper we propose a watermarking system that
uses the biorthogonal discrete wavelet transform, DWT and the
message is encoded before embedding. The proposed
watermarking method is very simple, implying four steps: turbo
coding of
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Performance analysis of steganography is done for selecting better wavelet for application by analyzing Peak Signal Noise Ratio(PSNR) of different wavelet families like Haar, Daubechies, Biorthogonal, Reverse Biorthogonal & Meyer wavelet(dmey) on res
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Demonstrates image compression using biorthogonal 9/7 wavelet filters.
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