How to decrypt a .mat file ?

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Chidiebere Ike 2018-10-23

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评论： MOUSSAOUI FAOUZI 2021-12-31

采纳的回答： John D'Errico

Hi,

Is there any way to go about this? I need an information on how to decrypt a given .mat file named "conf.mat" ?

I have to use this configuration file and make changes on its loaded parameters to suite my work.

Is there anyway this can be decrypted ?

Thanks

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Chidiebere Ike 2018-10-23

Thanks Rik. I appreciate

MOUSSAOUI FAOUZI 2021-12-31

Hello, all my Matlab files have been encrypted by ransomware online. Is there a way to recover and decrypt Matlab files? Thank you. moussaoui39fa@gmail.com

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John D'Errico 2018-10-23

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编辑：John D'Errico 2018-10-23

I believe the complete file specs for a .mat file are not published outside of The MathWorks. That means if you want to fully "decrypt" a .mat file, then change a variable, and save it back out, you have one good option - get a job at The MathWorks.

Of course even then, you still have a problem. Since the .mat files have changed format at times over the years with release changes, anything you did would be potentially version specific, and might not work with a different release.

So the only reliable solution to your problem is to not solve it as you wish. Instead, use load. Load the file, then modify the variables in question, and finally save it back out. This solution is easy and incredibly fast to implement, instead of the complex approach you seem to want to follow.

As far as your comment that you tried it, but not all content was shown, just means you may not understand how to properly use load, or perhaps are not using MATLAB properly. So it is difficult to help you there without seeing what confused you and what you indeed did try.

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Chidiebere Ike 2018-10-23

编辑：Walter Roberson 2018-10-23

在 MATLAB Online 中打开

Thanks for your response. As suggested by a staff here that I break it down into smaller parts and I did.

whos Sd
[rows, columns] = size(Sd)
index1 = PatchSizeHalf+WindowSizeHalf+1
index2 = Height+WindowSizeHalf+PatchSizeHalf
index3 = PatchSizeHalf+WindowSizeHalf+1
index4 = Width+WindowSizeHalf+PatchSizeHalf

On running the above, it's observed that index2 is not bigger than rows, or index4 is not bigger than columns. I did tried to replace breakdown above in Line 56 on the original whose link I shared earlier. Below information was obtained to show the differences in index size

whos Sd
[rows, columns] = size(Sd)
index1 = PatchSizeHalf+WindowSizeHalf+1
index2 = Height+WindowSizeHalf+PatchSizeHalf
index3 = PatchSizeHalf+WindowSizeHalf+1
index4 = Width+WindowSizeHalf+PatchSizeHalf)
Name        Size               Bytes  Class     Attributes
    Sd        522x522            2179872  double 
  rows =
     522
  columns =
     522
index1 =
     7
index2 =
   518
index3 =
     7
index4 =
   518

Here is an error obtained after I had replaced the breakdown above in Line 56 of the original code.

Undefined function or variable 'SqDist'.
Error in FAST_NLM_II (line 64)
        w = exp(-SqDist/(2*Sigma^2));

Quite frustrating at this point.

Thanks

Chidiebere Ike 2018-10-23

编辑：Walter Roberson 2018-10-23

在 MATLAB Online 中打开

Thanks Jiang for your response.

Here is the lines of code inputed:

%%NLM_II  
% Get Image Info
[Height,Width] = size(NoisyImg);
% Initialize the denoised image
u = zeros(Height,Width); 
% Initialize the weight max
M = u; 
% Initialize the accumlated weights
Z = M;
% Pad noisy image to avoid Borader Issues
PaddedImg = padarray(NoisyImg,[PatchSizeHalf,PatchSizeHalf],'symmetric','both');
PaddedV = padarray(NoisyImg,[WindowSizeHalf,WindowSizeHalf],'symmetric','both');
% Main loop
for dx = -WindowSizeHalf:WindowSizeHalf
    for dy = -WindowSizeHalf:WindowSizeHalf
        if dx ~= 0 || dy ~= 0
        % Compute the Integral Image 
    %  Sd = integralImgSqDiff(PaddedImg,dx,dy); 
      Sd = integralImgSqDiff(PaddedV,dx,dy);
%      Obtaine the Square difference for every pair of pixels 
      whos Sd
      [rows, columns] = size(Sd);
      index1 = PatchSizeHalf+WindowSizeHalf+1;
      index2 = Height+WindowSizeHalf+PatchSizeHalf;
      index3 = PatchSizeHalf+WindowSizeHalf+1;
      index4 = Width+WindowSizeHalf+PatchSizeHalf;
      SqDist = Sd(index1:index2, index3:index4);
      if rows < index2 || columns < index4
      error('indices (%d:%d,%d:%d) out of range for Sd, which is (%d,%d)', index1, index2, index3, index4, rows, columns);
      end
  end

Here is the error message:

      Name        Size               Bytes  Class     Attributes
    Sd        514x514            2113568  double              
Index exceeds matrix dimensions.
Error in FAST_NLM_IIcorrected (line 61)
      SqDist = Sd(index1:index2, index3:index4);
Error in FAST_NLM_II (line 175)

Chidiebere Ike 2018-10-23

编辑：Walter Roberson 2018-10-23

在 MATLAB Online 中打开

I did.

     % Compute the Integral Image 
     %  Sd = integralImgSqDiff(PaddedImg,dx,dy); 
       Sd = integralImgSqDiff(PaddedV,dx,dy);
%      Obtaine the Square difference for every pair of pixels 
      whos Sd
      [rows, columns] = size(Sd);
      index1 = PatchSizeHalf+WindowSizeHalf+1;
      index2 = Height+WindowSizeHalf+PatchSizeHalf;
      index3 = PatchSizeHalf+WindowSizeHalf+1;
      index4 = Width+WindowSizeHalf+PatchSizeHalf;
      if rows < index2 || columns < index4
      error('indices (%d:%d,%d:%d) out of range for Sd, which is (%d,%d)', index1, index2, index3, index4, rows, columns);
      end
      SqDist = Sd(index1:index2, index3:index4);

Error received:

In FNLM_LANR (line 190) 
Warning: Matrix is singular, close to singular or badly scaled. Results may be inaccurate.
RCOND = NaN. 
> In FNLM_LANR (line 190) 
Warning: Matrix is singular, close to singular or badly scaled. Results may be inaccurate.
RCOND = NaN. 
> In FNLM_LANR (line 190) 
Warning: Matrix is singular, close to singular or badly scaled. Results may be inaccurate.
RCOND = NaN. 
> In FNLM_LANR (line 190) 
1/5  "Set5/baby_GT.bmp" [512 x 512]
Scale-Up GR.
Elapsed time is 1.430249 seconds.
Scale-Up ANR.
Elapsed time is 2.136054 seconds.
Scale-Up LANR.
Elapsed time is 1.420766 seconds.
Preprocessing, Iter 0 : PSNR = NaN; SSIM = NaN
Preprocessing, Iter 10 : PSNR = NaN; SSIM = NaN
Preprocessing, Iter 20 : PSNR = NaN; SSIM = NaN
Preprocessing, Iter 30 : PSNR = NaN; SSIM = NaN

No values of PSNR and SSIM was obtained.

Chidiebere Ike 2018-10-23

编辑：Chidiebere Ike 2018-10-23

在 MATLAB Online 中打开

Ops. Sorry for the initial message.

if true
  % %%Each column in PPs corresponds to a atom in D_l
  for i = 1:length(conf.points)
      [vals idx] = sort(D(i,:), 'descend');
      if (clustersz >= size(conf.dict_lores,2)/2)
          conf.PPs{i} = conf.PP;
      else
          Lo = conf.dict_lores(:, idx(1:clustersz));  
          Hi = conf.dict_hires(:, idx(1:clustersz));           
          % conf.PPsTMM{i} = 1*Hi*inv(Lo'*Lo + 1e-5*diag(1./(vals(1:clustersz)).^11)  \ Lo');   
        %   conf.dict_middle(:,i) = conf.PPsTMM{i}*conf.dict_lores(:,i);
          temp = (Lo'*Lo + 1e-5*diag(1./(vals(1:clustersz))).^11);
      if size(temp,1) ~= size(temp,2)
      error('Non-square temp, cannot have inverse');
      end
      if ~all(isfinite(temp(:)))
     error('temp contains nan or inf, inverse would be nan');
      end
      rtemp = rank(temp);
      if rtemp ~= size(temp,1)
     error('temp is rank deficient, only rank %d instead of %d, no inverse', rtemp, size(temp,1));
      end
      conf.PPsTMM{i} = 1*Hi*(temp \ Lo');
      conf.dict_middle(:,i) = conf.PPsTMM{i}*conf.dict_lores(:,i);
      end
  end
end

Error message obtained :

if true
  % code Error using FNLM_LANR (line 189)
temp contains nan or inf, inverse would be nan 
>> 
end

Walter Roberson 2018-10-27

在 MATLAB Online 中打开

You have

     for i = 1:numel(midres)
        features = collect(conf, {midres{i}}, conf.upsample_factor, conf.filters);
        features = double(features);
     end

You do not output features anywhere, so there would not appear to be any point in calculating them.

You are overwriting all of the variable features each round of the loop.

Chidiebere Ike 2018-10-27

编辑：Chidiebere Ike 2018-10-27

The attachment I made was what I did so far.

Please please guide me through this sir to achieve this. I wish to compare this Demo_LANR_NLM method alongside other methods with my proposed method and will be good to have DEMO_LANR_NLM in function file like I had others such as BICUBIC, Global Regressor, ANR, LANR etc on "methods" folder.

What I always do is to run the Demo_LANR_NLM code separately to obtain its PSNR and SSIM values and images quality… And run my proposed code separately as well to compare both.

So I felt it will be better to run all at once in my code. Just like the Demo_LANR_NLM code had bicubic, ScSR, ANR, GR and LANR etc in its list of the methods to be compared.

Thats all.

Guide me sir

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