关于代码 这是“ Zhao，C.，Zhang，J.，Ma，S.，Fan，X.，Zhang，Y.，＆Gao，W.（2017）。”的matlab实现。表示和量化约束优先。IEEE视频技术电路和系统交易，第27（10），2057-2071页。” 用法 只需运行文件Demo_SSRQC_Deblocking.m 。 引用这项工作 如果使用此代码，请引用以下论文。 @article{zhao2017reducing, title={Reducing image compression artifacts by structural sparse representation and quantization constraint prior}, author={Zhao, Chen and Zhang, Jian and Ma, Siwei and Fan, Xiaopeng and

数据融合matlab代码通过具有非凸罚分的稀疏正则化进行图像融合 该源代码包包括用于所提出的图像融合和联合问题算法的MATLAB源代码。 纸： 每个主要代码的具体功能如下图所示： FL1：采用L1规范化正规化的图像融合； FGMC：通过GMC正则化进行图像融合； FSL1：采用L1规范正则化的联合图像融合和超分辨率； FSGMC：通过GMC正则化进行联合图像融合和超分辨率； FDrealGMC：在真正的OCT和眼底图像数据集（PSF估计）上使用GMC正则化进行联合图像融合和反卷积；

《Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries》文章matlab代码实现

在压缩感知领域常用的SpaRCS包，能够在稀疏低秩学习的代码中起到一定快速求解的作用。

页面稀疏 PageRank（PR）算法，用于JavaScript中的稀疏图。

这是一个压缩传感方面的Gradient Projection for Sparse Reconstruction 工具包。

Compressed-Sensing is a recent branch that separated from sparse and redundant representations, becoming a center of interest of its own. Exploiting sparse representation of signals, their sampling can be made far more eective compared to the classical Nyquist-Shannon sampling. In a recent work that emerged in 2006 by Emmanuel Candes, Justin Romberg, Terence Tao, David Donoho, and others that followed, the theory and practice of this field were beautifully formed, sweeping many researchers and practitioners in excitement. The impact this field has is immense, strengthened by the warm hug by information-theorists, leading mathematicians, and others. So popular has this field become that many confuse it with being the complete story of sparse representation modeling. In this book I discuss the branch of activity on Compressed-Sensing very briefly, and mostly so as to tie it to the more general results known in sparse representation theory. I believe that the accumulated knowledge on compressed-sensing could easily fill a separate book.

依次修改BLAS_LIBF2C_LIBLAPACKBLAS_DIRLAPACK_LIB的值如下图所示红色警告消失再次点击Configure然后点击GenerateVS工程生成。

3-sources，prokaryotic，reuters，uci-digit

Sparse_subspace_clustering算法代码