/matlab_tools/Converted/kkwiener.m
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Possible License(s): BSD-3-Clause
- %kkwiener 'Wiener Filtering (Restoration) in Fourier Frequency Domain'
- % This MatLab function was automatically generated by a converter (KhorosToMatLab) from the Khoros kwiener.pane file
- %
- % Parameters:
- % InputFile: i1 'Source data object (FFT)', required: 'source data object (FFT)'
- % InputFile: i2 ' PSF data object (FFT)', required: 'PSF data object (FFT)'
- % OutputFile: o 'Filtered data object (FFT)', required: 'filtered data object (FFT)'
- %
- % Example: o = kkwiener({i1, i2}, {'i1','';'i2','';'o',''})
- %
- % Khoros helpfile follows below:
- %
- % PROGRAM
- % kwiener - Wiener Filtering (Restoration) in Fourier Frequency Domain
- %
- % DESCRIPTION
- % .I kwiener
- % performs restoration of data in the spatial domain by Wiener filtering in
- % the frequency domain. The idea is to deconvolve the blurring function
- % from the blurred data. A few problems exist in performing this operation,
- % as described in great detail in any good image processing book.
- %
- % A full implementation of a Wiener filter requires detailed knowledge of the
- % signal and noise power spectra. Many times this information is simply
- % unavailable or is very poorly known. In such situations, it is convenient
- % to assign some constant value to the SNR and use that in the Wiener filter
- % implentation. This is a somewhat extreme restriction of the Wiener filter,
- % but it makes the filter very easy to use and can produce better results than
- % the pseudoinverse filter in "kinverse\fR. (Better in the sense of much
- % less ringing).
- %
- % Note that the input data objects will be treated simply as a field of complex
- % data, presumably obtained by application of an FFT, although the data could
- % be generated by many other means. The output data will be either KCOMPLEX if
- % the input data is any type other than KDCOMPLEX. Otherwise, the output will be
- % of type KDCOMPLEX. Data objects with maps attached are not supported. Mask
- % data is ignored, if present.
- %
- %
- %
- % EXAMPLES
- %
- % "SEE ALSO"
- % kinverse(1), kfft(1), kcmplx2real(1)
- %
- % RESTRICTIONS
- %
- % REFERENCES
- % K.R. Castleman, "Digital Image Processing", Prentice-Hall, 1979,
- % ISBN 0-13-212365-7, p281 Eq. 2.
- % Rosenfeld & Kak, p287.
- %
- % COPYRIGHT
- % Copyright (C) 1993 - 1997, Khoral Research, Inc. ("KRI") All rights reserved.
- %
- function varargout = kkwiener(varargin)
- if nargin ==0
- Inputs={};arglist={'',''};
- elseif nargin ==1
- Inputs=varargin{1};arglist={'',''};
- elseif nargin ==2
- Inputs=varargin{1}; arglist=varargin{2};
- else error('Usage: [out1,..] = kkwiener(Inputs,arglist).');
- end
- if size(arglist,2)~=2
- error('arglist must be of form {''ParameterTag1'',value1;''ParameterTag2'',value2}')
- end
- narglist={'i1', '__input';'i2', '__input';'o', '__output'};
- maxval={0,0,0};
- minval={0,0,0};
- istoggle=[0,0,0];
- was_set=istoggle * 0;
- paramtype={'InputFile','InputFile','OutputFile'};
- % identify the input arrays and assign them to the arguments as stated by the user
- if ~iscell(Inputs)
- Inputs = {Inputs};
- end
- NumReqOutputs=1; nextinput=1; nextoutput=1;
- for ii=1:size(arglist,1)
- wasmatched=0;
- for jj=1:size(narglist,1)
- if strcmp(arglist{ii,1},narglist{jj,1}) % a given argument was matched to the possible arguments
- wasmatched = 1;
- was_set(jj) = 1;
- if strcmp(narglist{jj,2}, '__input')
- if (nextinput > length(Inputs))
- error(['Input ' narglist{jj,1} ' has no corresponding input!']);
- end
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- elseif strcmp(narglist{jj,2}, '__output')
- if (nextoutput > nargout)
- error(['Output nr. ' narglist{jj,1} ' is not present in the assignment list of outputs !']);
- end
- if (isempty(arglist{ii,2}))
- narglist{jj,2} = 'OK_out';
- else
- narglist{jj,2} = arglist{ii,2};
- end
- nextoutput = nextoutput + 1;
- if (minval{jj} == 0)
- NumReqOutputs = NumReqOutputs - 1;
- end
- elseif isstr(arglist{ii,2})
- narglist{jj,2} = arglist{ii,2};
- else
- if strcmp(paramtype{jj}, 'Integer') & (round(arglist{ii,2}) ~= arglist{ii,2})
- error(['Argument ' arglist{ii,1} ' is of integer type but non-integer number ' arglist{ii,2} ' was supplied']);
- end
- if (minval{jj} ~= 0 | maxval{jj} ~= 0)
- if (minval{jj} == 1 & maxval{jj} == 1 & arglist{ii,2} < 0)
- error(['Argument ' arglist{ii,1} ' must be bigger or equal to zero!']);
- elseif (minval{jj} == -1 & maxval{jj} == -1 & arglist{ii,2} > 0)
- error(['Argument ' arglist{ii,1} ' must be smaller or equal to zero!']);
- elseif (minval{jj} == 2 & maxval{jj} == 2 & arglist{ii,2} <= 0)
- error(['Argument ' arglist{ii,1} ' must be bigger than zero!']);
- elseif (minval{jj} == -2 & maxval{jj} == -2 & arglist{ii,2} >= 0)
- error(['Argument ' arglist{ii,1} ' must be smaller than zero!']);
- elseif (minval{jj} ~= maxval{jj} & arglist{ii,2} < minval{jj})
- error(['Argument ' arglist{ii,1} ' must be bigger than ' num2str(minval{jj})]);
- elseif (minval{jj} ~= maxval{jj} & arglist{ii,2} > maxval{jj})
- error(['Argument ' arglist{ii,1} ' must be smaller than ' num2str(maxval{jj})]);
- end
- end
- end
- if ~strcmp(narglist{jj,2},'OK_out') & ~strcmp(narglist{jj,2},'OK_in')
- narglist{jj,2} = arglist{ii,2};
- end
- end
- end
- if (wasmatched == 0 & ~strcmp(arglist{ii,1},''))
- error(['Argument ' arglist{ii,1} ' is not a valid argument for this function']);
- end
- end
- % match the remaining inputs/outputs to the unused arguments and test for missing required inputs
- for jj=1:size(narglist,1)
- if strcmp(paramtype{jj}, 'Toggle')
- if (narglist{jj,2} ==0)
- narglist{jj,1} = '';
- end;
- narglist{jj,2} = '';
- end;
- if ~strcmp(narglist{jj,2},'__input') && ~strcmp(narglist{jj,2},'__output') && istoggle(jj) && ~ was_set(jj)
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- if strcmp(narglist{jj,2}, '__input')
- if (minval{jj} == 0) % meaning this input is required
- if (nextinput > size(Inputs))
- error(['Required input ' narglist{jj,1} ' has no corresponding input in the list!']);
- else
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- end
- else % this is an optional input
- if (nextinput <= length(Inputs))
- narglist{jj,2} = 'OK_in';
- nextinput = nextinput + 1;
- else
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- end;
- else
- if strcmp(narglist{jj,2}, '__output')
- if (minval{jj} == 0) % this is a required output
- if (nextoutput > nargout & nargout > 1)
- error(['Required output ' narglist{jj,1} ' is not stated in the assignment list!']);
- else
- narglist{jj,2} = 'OK_out';
- nextoutput = nextoutput + 1;
- NumReqOutputs = NumReqOutputs-1;
- end
- else % this is an optional output
- if (nargout - nextoutput >= NumReqOutputs)
- narglist{jj,2} = 'OK_out';
- nextoutput = nextoutput + 1;
- else
- narglist{jj,1} = '';
- narglist{jj,2} = '';
- end;
- end
- end
- end
- end
- if nargout
- varargout = cell(1,nargout);
- else
- varargout = cell(1,1);
- end
- global KhorosRoot
- if exist('KhorosRoot') && ~isempty(KhorosRoot)
- w=['"' KhorosRoot];
- else
- if ispc
- w='"C:\Program Files\dip\khorosBin\';
- else
- [s,w] = system('which cantata');
- w=['"' w(1:end-8)];
- end
- end
- [varargout{:}]=callKhoros([w 'kwiener" '],Inputs,narglist);