qpdec.m

contourlet算法作为二阶小波算法的延续

function [p0, p1] = qpdec(x, type)
% QPDEC   Quincunx Polyphase Decomposition
%
% 	[p0, p1] = qpdec(x, [type])
%
% Input:
%	x:	input image
%	type:	[optional] one of {'1r', '1c', '2r', '2c'} default is '1r'
%		'1' and '2' for selecting the quincunx matrices:
%			Q1 = [1, -1; 1, 1] or Q2 = [1, 1; -1, 1]
%		'r' and 'c' for suppresing row or column		
%
% Output:
%	p0, p1:	two qunincunx polyphase components of the image

if ~exist('type', 'var')
    type = '1r';
end

% Quincunx downsampling using the Smith decomposition:
%	Q1 = R2 * D1 * R3
%	   = R3 * D2 * R2
% and,
%	Q2 = R1 * D1 * R4
%	   = R4 * D2 * R1
%
% where D1 = [2, 0; 0, 1] and D2 = [1, 0; 0, 2].
% See RESAMP for the definition of the resampling matrices R's

switch type
    case {'1r'}		% Q1 = R2 * D1 * R3
	y = resamp(x, 2);
	
	p0 = resamp(y(1:2:end, :), 3);
	
	% inv(R2) * [0; 1] = [1; 1]
	p1 = resamp(y(2:2:end, [2:end, 1]), 3);
	
    case {'1c'}		% Q1 = R3 * D2 * R2
	y = resamp(x, 3);

	p0 = resamp(y(:, 1:2:end), 2);
	
	% inv(R3) * [0; 1] = [0; 1]
	p1 = resamp(y(:, 2:2:end), 2);

    case {'2r'}		% Q2 = R1 * D1 * R4
	y = resamp(x, 1);
	
	p0 = resamp(y(1:2:end, :), 4);	
	
	% inv(R1) * [1; 0] = [1; 0]
	p1 = resamp(y(2:2:end, :), 4);
		
    case {'2c'}		% Q2 = R4 * D2 * R1
	y = resamp(x, 4);
	
	p0 = resamp(y(:, 1:2:end), 1);
	
	% inv(R4) * [1; 0] = [1; 1]
	p1 = resamp(y([2:end, 1], 2:2:end), 1);
	
    otherwise
	error('Invalid argument type');
end