$ mr_filter Usage: mr_filter options in_image out_image where options = [-f type_of_filtering] 1: Multiresolution thresholding 2: Multiresolution soft thresholding 3: Iterative multiresolution thresholding 4: Adjoint operator applied to the multiresolution support 5: Hierarchical thresholding 6: Hierarchical Wiener filtering 7: Multiresolution Wiener filtering 8: Median filtering 9: Average filtering 10: Bspline filtering 11: Donoho hard thesholding 12: Donoho soft thesholding default is Multiresolution thresholding. [-t type_of_multiresolution_transform] 1: linear wavelet transform: a trous algorithm 2: bspline wavelet transform: a trous algorithm 3: wavelet transform in Fourier space 4: morphological median transform 5: morphological minmax transform 6: pyramidal linear wavelet transform 7: pyramidal bspline wavelet transform 8: pyramidal wavelet transform in Fourier space: algo 1 (diff. between two resolutions) 9: pyramidal wavelet transform in Fourier space: algo 2 (diff. between the square of two resolutions) 10: pyramidal median transform 11: pyramidal laplacian 12: morphological pyramidal minmax transform 13: decomposition on scaling function 14: Mallat's wavelet transform (7/9 filters) 15: Feauveau's wavelet transform 16: Feauveau's wavelet transform without undersampling 17: G transform (morphological min-max algorithm) 18: Haar's wavelet transform default is bspline wavelet transform: a trous algorithm [-g sigma] sigma = noise standard deviation default is automatically estimated. [-c gain,sigma,mean] Poisson + readout noise, with: gain = gain of the CCD sigma = read-out noise standard deviation mean = read-out noise mean default is no (Gaussian). [-m type_of_noise] 1: Gaussian noise 2: Poisson noise 3: Poisson noise + Gaussian noise 4: Multiplicative noise 5: Non-stationary additive noise 6: Non-stationary multiplicative noise 7: Undefined uniform noise 8: Undefined noise 9: Poisson noise with few events default is Gaussian noise [-n number_of_scales] Number of scales used in the multiresolution transform default is 4. default is 6 in case of poisson noise with few events. [-s nsigma] Thresholding at nsigma * SigmaNoise default is 3. [-i number_of_iterations] Maximum number of iterations default is 10. [-e epsilon] Convergence parameter default is 0.001000. default is 0.000010 in case of poisson noise with few events. [-w support_file_name] Creates an image from the multiresolution support and save to disk. [-k] Suppress isolated pixels in the support. Default is no. [-K] Suppress the last scale. Default is no. [-p] Detect only positive structure. Default is no. [-E Epsilon] Epsilon = precision for computing thresholds (only used in case of poisson noise with few events) default is 1.00e-03 [-S SizeBlock] Size of the blocks used for local variance estimation. default is 7. [-N NiterSigmaClip] Iteration number used for local variance estimation. default is 1. [-F first_detection_scale] First scale used for the detection default is 1. [-R RMS_Map_File_Name] RMS Map. If this option is set, the noise model is automatically fixed to: Non-stationary additive noise [-W WindowSize] Window size for median and average filtering. default is 5. [-v] Verbose. Default is no. [-P] Suppress the positivity constraint.