搜索资源列表
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图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.
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附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
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基于稀疏表示的算法，对Donoho提出的Cartoon image进行纹理综合-Algorithm based on sparse representation of Donoho proposed Cartoon image texture synthesis
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Images Denoising via Sparse and Redundant Representation
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Image Super-Resolution via Sparse Representation
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Image Super Resolution via Sparse Representation. -Image Super Resolution via Sparse Representation.Image Super via Sparse Representation.
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稀疏图像表示的课件，西安电子科大焦李成做-Sparse image representation of the courseware, Xi' an Electronic Science and Technology Li-Cheng Jiao do
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图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
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Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster
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本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码-This archive contains a sparse representation of image processing literature and related code
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Sparse Representation or Collaborative Representation Which Helps Face Recognition
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參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」
Clustering-based Sparse Representation 的 matlab代碼-「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and
Clustering-based Sparse
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YANG JC 2010年基于稀疏表示的图像超分辨PPT，全英文-Yang JC 2010 super-resolution image based on sparse representation PPT, English
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应用局部表示进行图像显著度检测，该方法不需要事先学习字典。-local sparse representation for detecting image saliency with out learning a dictionary.
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正交匹配追踪是压缩感知中重建算法的一种，能够以高概率重建原始信号-Image Denoising Via Learned Dictionaries and Sparse representation
Image Denoising Via Learned Dictionaries and Sparse representation
Image Denoising Via Learned Dictionaries and Sparse representation
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通过稀疏表示图像超分辨率(TIP2010)-Image Super-Resolution via Sparse Representation(TIP2010)
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此程序，是应用在压缩感知方面的稀疏表示，图像重构。程序中利用现在流行的CS理论，在采样率为0.9时，成功的实现了图像重构-This procedure is used in the compressed sensing aspects of sparse representation, image reconstruction. Program using the now popular CS theory, the sampling rate is 0.9, the successful re
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图像的稀疏表示，通过该算法可以读图像进行稀疏表示，并且查询字典可还原图像.-Image sparse representation, can be achieved by the algorithm of image sparse representation, and combine the dictionary query, can restore the image.
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稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
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Image super-resolution via sparse representation
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