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High-Dimensional Mixture Models For Unsupervised Image Denoising

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HDMI

High-Dimensional Mixture Models For Unsupervised Image Denoising

Code related to the paper https://hal.archives-ouvertes.fr/hal-01544249

  • utils.py contains custom functions imread, imshow, imsave, im2pat, pat2im, and psnr

  • HDMI.py contains the HDMI model

  • syntax python run_HDMI_denoising.py image_path --options

    replace --options with any:

    -s or -stdv standard deviation of the noise
    -w or --patch_size patch size 
    -n or --n_iter iterations of EM algorithm 
    -k or --n_groups number of groups in the mixture model
    --gpu to use GPU if possible results 
    --verbose to print time at each iteration
    

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