Undefined function or variable

9 vues (au cours des 30 derniers jours)
hanaa
hanaa le 15 Juil 2014
Modifié(e) : James Tursa le 15 Juil 2014
I'm trying to run SPIHT algorithm without arithmetic coding with Matlab function block. there is error occurred at the following code statement:
MSE = sum(sum((img_spiht-Orig_I).^2))/nRow / nColumn;
error format is: Undefined function or variable 'MSE'. The first assignment to a local variable determines its class.
I tried to initialize MSE with zero value before the previous statement, but nothing changed. please help thanks
  2 commentaires
dpb
dpb le 15 Juil 2014
Need to see the function up to that point...
hanaa
hanaa le 15 Juil 2014
Modifié(e) : James Tursa le 15 Juil 2014
this is Matlab Function:
function func_SPIHT_Main
% Matlab implementation of SPIHT (without Arithmatic coding stage)
%
% Main function
%
% input: Orig_I : the original image.
% rate : bits per pixel
% output: img_spiht
%
fprintf('----------- Welcome to SPIHT Matlab Demo! ----------------\n');
fprintf('----------- Load Image ----------------\n');
infilename = '11.bmp';
outfilename = '1_reconstruct.bmp';
Orig_I = double(imread(infilename));
rate = 1;
OrigSize = size(Orig_I, 1);
max_bits = floor(rate * OrigSize^2);
OutSize = OrigSize;
image_spiht = zeros(size(Orig_I));
[nRow, nColumn] = size(Orig_I);
fprintf('done!\n');
fprintf('----------- Wavelet Decomposition ----------------\n');
n = size(Orig_I,1);
n_log = log2(n);
level = n_log;
% wavelet decomposition level can be defined by users manually.
type = 'bior4.4';
[Lo_D,Hi_D,Lo_R,Hi_R] = wfilters(type);
[I_W, S] = func_DWT(Orig_I, level, Lo_D, Hi_D);
fprintf('done!\n');
fprintf('----------- Encoding ----------------\n');
img_enc = func_SPIHT_Enc(I_W, max_bits, nRow*nColumn, level);
fprintf('done!\n');
fprintf('----------- Decoding ----------------\n');
img_dec = func_SPIHT_Dec(img_enc);
fprintf('done!\n');
fprintf('----------- Wavelet Reconstruction ----------------\n');
img_spiht = func_InvDWT(img_dec, S, Lo_R, Hi_R, level);
fprintf('done!\n');
fprintf('----------- PSNR analysis ----------------\n');
Q = 255;
MSE = sum(sum((img_spiht-Orig_I).^2))/nRow / nColumn;
fprintf('The psnr performance is %.2f dB\n', 10*log10(Q*Q/MSE));

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