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BPFA_Denoising

于 2021-01-12 发布 文件大小:1783KB
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代码说明：

  利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)

文件列表：

BPFA_Denoising_Inpainting_codes_Inference_10292009
BPFA_Denoising_Inpainting_codes_Inference_10292009\barbara.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\BPFA_Denoise.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\BPFA_Inpainting.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\castle_damaged.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\castle_original.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\Demo_Denoise.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Demo_Inpainting_GRAY.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Demo_Inpainting_RGB.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\DenoiseOutput.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\DispDictionary.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\fig13_damaged.bmp
BPFA_Denoising_Inpainting_codes_Inference_10292009\fig13_damaged.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\fig13_original.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\house.png
BPFA_Denoising_Inpainting_codes_Inference_10292009\idexUpdate.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\InitMatrix.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Mingyuan_nips2009_final.pdf
BPFA_Denoising_Inpainting_codes_Inference_10292009\Model and Inference.pdf
BPFA_Denoising_Inpainting_codes_Inference_10292009\Readme.txt
BPFA_Denoising_Inpainting_codes_Inference_10292009\Samplealpha.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\SampleDZS.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\SampleDZS_MissingData.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Samplephi.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\SamplePi.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\sparsify.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\SZUpdate.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\XUpdate.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\XUpdate_MissingData.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\YflagUpdate.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\BPFA_Denoising.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Demo_Denoising.m
BPFA_Denoising_Inpainting_codes_Inference_10292009\Solve out of memory error.txt

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    k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心(K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center)
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    自适应门限二值化图像处理，自己最近完成的，还可以用，文件也加了两张图的效果，需要的可以试一试(Adaptive threshold binarization image processing, recently completed its own, but also can be used, the document also increase the effectiveness of the two plans, the needs may try it)
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    2020-06-27 10:00:02下载
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    2009-09-15 15:52:27下载
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