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Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold le
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This code describes about image denoising.
How we denoise the image and do compression using wavelet -This code describes about image denoising.
How we denoise the image and do compression using wavelet
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hi this the code for image compression using different transoformation coding algorithms in wavelets,that is all wavelets-hi this is the code for image compression using different transoformation coding algorithms in wavelets,that is all wavelets
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MATLAB下小波变换的原理教程及示例 包括：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-MATLAB wavelet transform under the principle of tutorials and examples include: one-dimensional linear non-linear approximation, two-dimensional linear non-line
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用matlab实现小波变化，使图像实现EZW压缩算法，达到压缩效果，得到对应的压缩haffman编码。-Wavelet transform using matlab implementation, so that realization of EZW image compression algorithm to achieve the compression effect, been a corresponding compression haffman coding.
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使用matlab自带函数实现小波变换，并将压缩后的图像显示出来-Native function implementation using matlab wavelet transform, and display the image after compression
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用matlab 实现的基于小波的图像压缩与显示程序-Using matlab to achieve wavelet-based image compression and display program
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image compression using wavelet harr the code is written matlab
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小波变换在数字图像中的应用，主要分析了基于小波变换的图像分解和图像压缩的技术,并运用Matlab 软件对图像进行分解,然后-This paper analysed the technologies of the picture decomposition and compression basecd on wavelet transform ,and decomposing the picture using Matlab ,and then picked up the low frequenc
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code source compression image using Haar wavelet
By Arash Fattahi, Omid Aladini {r_ash,omid}@cs.sharif.edu
To compress an image use this command in MATLAB:
haar_compression(FILE_NAME,COMP_LEVEL,MOSAIC_SIZE)
example:
haar_compres
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利用小波变换对图像进行二次压缩处理的MATLAB程序-A MATLAB program for secondary compression of image using wavelet transform
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