📄 c3wpti.m
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function reconstructed_image = c3wpti(transformed_image, btree, alf, alf_off, ahf, ahf_off, rlf, rlf_off, rhf, rhf_off)% function reconstructed_image = c3wpti(transformed_image, btree, alf, alf_off, ahf, ahf_off, rlf, rlf_off, rhf, rhf_off)%% Inverse 2D 3-way Continuous Wavelet Packet Transform.%% transformed_image (M x N x L real double N-D matrix)% The transformed full-resolution subbands provided by the cwpt2 function.% 2 <= M, N <= 16384, L must be coherent with the provided btree. See% c3wpt for more details on subband order.%% btree (B x 1 or 1 x B uint8 vector)% The btree structure used to obtain the transformed image.%% alf, ahf (double vectors) [optional]% Analysis low-pass and high-pass filters%% alf_off, ahf_off (double scalars) [optional]% Corresponding offsets of the center coefficients (>=0, C-like notation)%% rlf, rhf (double vectors) [optional]% Reconstruction low-pass and high-pass filters%% rlf_off, rhf_off (double scalars) [optional]% Corresponding offsets of the center coefficients (>=0, C-like notation)%% If these arguments are omitted, 7-9 filters are used.%% reconstructed_image (M x N real double matrix)% The reconstructed image.%% See also:% c3wpt, cwpt2_btree%% 2D Continuous Wavelet Packet Transform package% (c) 2002-2005 Let It Wave, all rights reserved
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