THESE/codes/bm3D/BM3D/BM3D-SAPCA/function_CreateLPAKernels.m

   1 % Creates LPA kernels cell array    (function_CreateLPAKernels)\r
   2 %\r
   3 % Alessandro Foi - Tampere University of Technology - 2003-2005\r
   4 % ---------------------------------------------------------------\r
   5 %\r
   6 %  Builds kernels cell arrays kernels{direction,size}\r
   7 %                  and        kernels_higher_order{direction,size,1:2}\r
   8 %               kernels_higher_order{direction,size,1}  is the 3D matrix\r
   9 %                   of all kernels for that particular direction/size\r
  10 %               kernels_higher_order{direction,size,2}  is the 2D matrix\r
  11 %                   containing the orders indices for the kernels\r
  12 %                   contained in kernels_higher_order{direction,size,1}\r
  13 %\r
  14 %   ---------------------------------------------------------------------\r
  15 % \r
  16 %   kernels_higher_order{direction,size,1}(:,:,1) is the funcion estimate kernel\r
  17 %   kernels_higher_order{direction,size,1}(:,:,2) is a first derivative estimate kernel\r
  18 %\r
  19 %   kernels_higher_order{direction,size,1}(:,:,n) is a higher order derivative estimate kernel\r
  20 %   whose orders with respect to x and y are specified in\r
  21 %   kernels_higher_order{direction,size,2}(n,:)=\r
  22 %                           =[xorder yorder xorder+yorder]\r
  23 %   \r
  24 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  25 \r
  26 function [kernels, kernels_higher_order]=function_createLPAkernels(m,h1,h2,TYPE,window_type,directional_resolution,sig_winds,beta)\r
  27 \r
  28 %--------------------------------------------------------------------------\r
  29 % LPA ORDER AND KERNELS SIZES\r
  30 %--------------------------------------------------------------------------\r
  31 %    m=[2,0];        % THE VECTOR ORDER OF LPA;\r
  32 \r
  33 %    h1=[1 2 3 4 5];    %   sizes of the kernel\r
  34 %    h2=[1 2 3 4 5];    %   row vectors h1 and h2 need to have the same lenght\r
  35 \r
  36 \r
  37 %--------------------------------------------------------------------------\r
  38 % WINDOWS PARAMETERS\r
  39 %--------------------------------------------------------------------------\r
  40 %    sig_winds=[h1*1 ; h1*1];    % Gaussian parameter\r
  41 %    beta=1;                     % Parameter of window 6\r
  42 \r
  43 %    window_type=1 ;  % window_type=1 for uniform, window_type=2 for Gaussian\r
  44 % window_type=6 for exponentions with beta\r
  45 % window_type=8 for Interpolation\r
  46 \r
  47 %    TYPE=00;        % TYPE IS A SYMMETRY OF THE WINDOW\r
  48                      % 00 SYMMETRIC\r
  49                      % 10 NONSYMMETRIC ON X1 and SYMMETRIC ON X2\r
  50                      % 11 NONSYMMETRIC ON X1,X2  (Quadrants)\r
  51                      % \r
  52                      % for rotated directional kernels the method that is used for rotation can be specified by adding \r
  53                      % a binary digit in front of these types, as follows:\r
  54                      % \r
  55                      % 10 \r
  56                      % 11  ARE "STANDARD" USING NN (Nearest Neighb.) (you can think of these numbers with a 0 in front)\r
  57                      % 00\r
  58                      % \r
  59                      % 110\r
  60                      % 111  ARE EXACT SAMPLING OF THE EXACT ROTATED KERNEL\r
  61                      % 100\r
  62                      % \r
  63                      % 210\r
  64                      % 211  ARE WITH BILINEAR INTERP\r
  65                      % 200\r
  66                      % \r
  67                      % 310\r
  68                      % 311  ARE WITH BICUBIC INTERP (not reccomended)\r
  69                      % 300\r
  70 \r
  71 %--------------------------------------------------------------------------\r
  72 % DIRECTIONAL PARAMETERS\r
  73 %--------------------------------------------------------------------------\r
  74 %    directional_resolution=4;       % number of directions\r
  75 \r
  76 \r
  77 \r
  78 \r
  79 \r
  80 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  81 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  82 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  83 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  84 %%%%% From this point onwards this file and the create_LPA_kernels.m should be identical %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  85 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r
  86 \r
  87 \r
  88 \r
  89 \r
  90 \r
  91 \r
  92 \r
  93 \r
  94 \r
  95 lenh=max(length(h1),length(h2));\r
  96 clear kernels\r
  97 clear kernels_higher_order\r
  98 kernels=cell(directional_resolution,lenh);\r
  99 kernels_higher_order=cell(directional_resolution,lenh,2);\r
 100 THETASTEP=2*pi/directional_resolution;\r
 101 THETA=[0:THETASTEP:2*pi-THETASTEP];\r
 102 \r
 103 \r
 104 s1=0;\r
 105 for theta=THETA,\r
 106     s1=s1+1;\r
 107     for s=1:lenh,\r
 108         \r
 109         \r
 110         [gh,gh1,gh1degrees]=function_LPAKernelMatrixTheta(ceil(h2(s)),ceil(h1(s)),window_type,[sig_winds(1,s) sig_winds(2,s)],TYPE,theta, m);\r
 111         kernels{s1,s}=gh;                          % degree=0 kernel\r
 112         kernels_higher_order{s1,s,1}=gh1;          % degree>=0 kernels\r
 113         kernels_higher_order{s1,s,2}=gh1degrees;   % polynomial indexes matrix\r
 114        \r
 115 end   % different lengths loop\r
 116 end   % different directions loop\r
 117 \r