mat2lpc.m

冈萨雷斯的经典教材数字图像处理的matlab版源代码

function y = mat2lpc(x, f)
%MAT2LPC Compresses a matrix using 1-D lossles predictive coding.
%   Y = MAT2LPC(X, F) encodes matrix X using 1-D lossless predictive
%   coding. A linear prediction of X is made based on the
%   coefficients in F. If F is omitted, F = 1 (for previous pixel
%   coding) is assumed. The prediction error is then computed and
%   output as encoded matrix Y. 
%
%   See also LPC2MAT.

%   Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
%   Digital Image Processing Using MATLAB, Prentice-Hall, 2004
%   $Revision: 1.4 $  $Date: 2003/06/18 12:38:39 $

error(nargchk(1, 2, nargin));       % Check input arguments
if nargin < 2                       % Set default filter if omitted
    f = 1;   
end

x = double(x);                      % Ensure double for computations
[m, n] = size(x);                   % Get dimensions of input matrix
p = zeros(m, n);                    % Init linear prediction to 0
xs = x;     zc = zeros(m, 1);       % Prepare for input shift and pad

for j = 1:length(f)                 % For each filter coefficient ...
    xs = [zc xs(:, 1:end - 1)];     % Shift and zero pad x
    p = p + f(j) * xs;              % Form partial prediction sums
end

y = x - round(p);                   % Compute the prediction error