www.pudn.com > multiwavelet.rar > simpcomp2D.m
function [rmsecomp,fhat]=simpcomp2D(fname,f,dflt,rflt,prepr,nlarge)
%[rmsecomp,fhat]=simpcomp2D(fname,f,dflt,rflt,prepr,nlarge)
%
% This function compresses 2-dimensional signal by retaining given number of
% largest coefficients in its wavelet transform. Compressed transform is
% reconstructed and the result is compared to the initial signal.
% For details see [SW1].
%
% [SW1] V. Strela and A. T. Walden, "Orthogonal and biorthogonal multiwavelets
% for signal denoising and image compression", SPIE Proc. 3391
% AeroSense 98, Orlando, Florida, April 1998.
%
%
% Input:
% nlarge integer, number of wavelet coefficients to retain
% prepr string of characters, type of preprocessing;
% allowed are:
% any prefilter names from coef_prep.m, they imply critically
% sampled preprocessing and should be used together with
% appropriate multifilter,
% prepr='rr' corresponds to oversampled ("repeated row")
% preprocessing and can be used with any
% multifilter,
% prepr='scalar' indicates that the filter is scalar and no
% preprocessing is needed,
% for details see [SW] in VSMWP.README
% rflt string of characters, name of the reconstruction filter bank;
% for admissible names see coef.m //重建滤波器
% dflt string of characters, name of the decomposition filter bank;
% for admissible names see coef.m //分解滤波器
% f n by m real array, input signal, n and m must be of
% the form 2^k, k > 4 is integer //输入信号
% name string of characters, name of the input data (used only
% to create the name of the output PostScript file) //输入信号的名称
%
% Output:
% fhat n by m real array, reconstructed signal //重建信号
% rmsecomp real, root mean square error of the reconstructed signal
%
% Initial and reconstructed signals are plotted, reconstructed signal is
% saved in a PostScript file.
%
% Example of Usage:
% [r,A]=simpcomp2D('my_image',f,'bih52s','bih32s','bih5ap',1024);
% Author: Vasily Strela
% COPYRIGHT 1997,98 by Vasily Strela
[n1,n2]=size(f);
n0=n1;
if n2