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📄 quant.m

📁 jpeg的matlab代码
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% NAME %      	quant - apply quantizing matrix%% SYNOPSIS%	quant%	quant(X)%	quant(X, Q)%	[Y, r] = quant%	[Y, r] = quant(X)%	[Y, r] = quant(X, Q)%% DESCRIPTION%	quant cuts an mxn matrix X into NxN matrices and quantizes%	using the matrix Q. If X is not given, then X=ans. If Q is not %	given, then Q=QMAT, or if QMAT is undefined or of size 0, then Q %	is chosen to be the 8x8 JPEG luminance matrix. Q becomes the%	new value for QMAT.%%	If the ratio r is requested, then a calculation of the "lossy%	compression" is performed. This is returned as a percentage, and %	measures the amount of savings obtained at the quantizing stage.%% BUGS%	The ratio measures only the savings obtained by removing %	"trailing zeros" in the submatrices. This often gives useful %	information about the choice of quantizer, but it is not the%	whole story of compression.% Copyright (C) 1995-1997 Darrel Hankerson and Greg A. Harris%% This file is part of the JPEGtool collection of scripts for Octave% and Matlab; see http://www.dms.auburn.edu/compression%% The JPEGtool collection is free software; you can redistribute it% and/or modify it under the terms of the GNU General Public License% as published by the Free Software Foundation; either version 2, or% (at your option) any later version.%% The collection is distributed in the hope that it will be useful,% but WITHOUT ANY WARRANTY; without even the implied warranty of% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the% GNU General Public License for more details.%% You should have received a copy of the GNU General Public License% along with this package; see the file COPYING.  If not, write to the% Free Software Foundation, 59 Temple Place - Suite 330, Boston, MA% 02111-1307, USA.function [X, ratio] = quant(X, Q)global QMATif (nargin == 0)  X = ans;endif (nargin <= 1)  Q = [];  if (exist('QMAT'))    if (size(QMAT,1))      Q = QMAT;    end  end  if (~size(Q, 1))    fprintf(1, 'Using standard 8x8 quantizing matrix\n')    Q = stdQ; QMAT = Q;  endelse  QMAT = Q;endN = size(Q, 1);dim = fix(size(X)/N); m=dim(1); n=dim(2);X = X(1:N*m,1:N*n);  	%  snip trailing rows and columns from X%  Now break up X and quantizeratio = 0;for ii=1:m	  rows = N*(ii-1)+1:N*ii;  for jj=1:n    cols = N*(jj-1)+1:N*jj;    X(rows, cols) = round( X(rows, cols) ./ Q );    if (nargout == 2)      ratio = ratio + trailnum(X(rows,cols));    end  endendif (nargout == 2)  ratio = ratio / (m * n * N^2) * 100;end

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