efilter2.m

contourlet算法作为二阶小波算法的延续

function y = efilter2(x, f, extmod, shift)
% EFILTER2   2D Filtering with edge handling (via extension)
%
%	y = efilter2(x, f, [extmod], [shift])
%
% Input:
%	x:	input image
%	f:	2D filter
%	extmod:	[optional] extension mode (default is 'per')
%	shift:	[optional] specify the window over which the 
%		convolution occurs. By default shift = [0; 0].
%
% Output:
%	y:	filtered image that has:
%		Y(z1,z2) = X(z1,z2)*F(z1,z2)*z1^shift(1)*z2^shift(2)
%
% Note:
%	The origin of filter f is assumed to be floor(size(f)/2) + 1.
%	Amount of shift should be no more than floor((size(f)-1)/2).
%	The output image has the same size with the input image.
%
% See also:	EXTEND2, SEFILTER2

if ~exist('extmod', 'var')
    extmod = 'per';
end

if ~exist('shift', 'var')
    shift = [0; 0];
end

% Periodized extension
sf = (size(f) - 1) / 2;

xext = extend2(x, floor(sf(1)) + shift(1), ceil(sf(1)) - shift(1), ...
	       floor(sf(2)) + shift(2), ceil(sf(2)) - shift(2), extmod);

% Convolution and keep the central part that has the size as the input
y = conv2(xext, f, 'valid');