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二进小波变换的图像增强

于 2021-03-24 发布 文件大小:169KB
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代码说明:

  这是基于二进小波变换的图像增强matlab源代码,通过编译。(this is a sound code of image enhancement based on dyadic wavelent ,by translate and edit )

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    LeGall(5,3)小波滤波器,其计算复杂度小、存储开销低、压缩效率高,已被JPEG2000标准采用。提升小波实例c语言实现(Lifting Wavelet Example C Language Implementation)
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    说明:  小波变换技术与工程实践:图像的小波变换(MFC框架下)(Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework))
    2008-09-08 23:18:34下载
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    2013-10-23 15:10:59下载
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    Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing
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