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mywavet
- 小波分解重构,降噪,压缩编码,压缩性能分析 xijie.m 将图片1级小波分解为近似,水平细节,垂直细节,对角细节 xijie2.m 将图片1和2级分解并重构,近似,水平细节,垂直细节,对角细节 noisereduce.m 图像1/2降噪. noisereduce2.m全值阀值消噪图像 mycompress.m小波BIOR3.7一次和二次压缩,与一次与二次解压缩 mycompress2.m分析小波分解系数中置0的系数个数百分比和压缩后图像剩余能量百分比
yasuo
- 用小波基函数bior3.7完成对二维图像的多分辨率分解，进而完成对图像信息的压缩-Using wavelet basis function of bior3.72D multi-resolution decomposition of image, and then the completion of image information compression
yasuogray
- 用小波基函数bior3.7完成对二维灰度图像的多分辨率分解，进而完成对图像信息的压缩 -Wavelet basis function of bior3.72D gray image multiresolution decomposition, and completion of image information compression
yasuograymat
- 用小波基函数bior3.7完成对二维伪彩色图像的多分辨率分解，进而完成对图像信息的压缩 -Using wavelet basis function of bior3.72D Pseudo Color Image multiresolution decomposition, and completion of image information compression
yasuomat
- 用小波基函数bior3.7完成对二维伪彩色灰度图像的多分辨率分解，进而完成对图像信息的压缩 -Using wavelet basis function of bior3.7two-dimensional pseudo-color Gray-scale Image multiresolution decomposition, and completion of image information compression
yasuoRGB
- 用小波基函数bior3.7完成对二维彩色图像的多分辨率分解，进而完成对图像信息的压缩-Using wavelet basis function bior3.7performed on a two-dimensional color Image multiresolution decomposition, and completion of image information compression
wavelet
- 对图像用bior3.7小波进行2层小波分解(the picture is decomposed by bior3.7 wavelet)
Bior3.7
- 特征提取，提取大量特征用于图像的分类识别(Extracting a large number of features for image classification)
二维小波分解 (1)
- 小波变换，对图像二维信号进行3层小波分解。 本题二维图像采用MATLAB自带的图片,实现图片多层小波分解的函数是： [C,S]=wavedec2(X,N,’wname’) , 即使用给定小波‘wname’对二维信号X进行N层小波分解。本题使用’bior3.7’小波进行分析。(wavelet transform)