Image construction from two image of same object scanned at two resolution for micro and macro information

I have SEM Image scanned at two magnifications, similar to this sample image. I want to merge these into a single image so that I can have information on pores at small scales and large scale. I want to know how to create a single image from those 2D slices using python or Matlab.

You may use MATLAB estimateGeometricTransform example:

% Read the images.
I1 = rgb2gray(imread('macro.png'));
I2 = rgb2gray(imread('micro.png'));

% Reuse MATLAB example.
original = I1;
distorted = I2;

% Detect and extract features from the original and the transformed images.
% (Use more octaves and scales and lower threshold for improving robustness).
ptsOriginal  = detectSURFFeatures(original, 'NumOctaves', 5, 'NumScaleLevels', 5, 'MetricThreshold', 10);
ptsDistorted = detectSURFFeatures(distorted, 'NumOctaves', 5, 'NumScaleLevels', 5, 'MetricThreshold', 10);
[featuresOriginal,validPtsOriginal] = extractFeatures(original,ptsOriginal);
[featuresDistorted,validPtsDistorted] = extractFeatures(distorted,ptsDistorted);

% Match and display features between the images.
index_pairs = matchFeatures(featuresOriginal,featuresDistorted);
matchedPtsOriginal  = validPtsOriginal(index_pairs(:,1));
matchedPtsDistorted = validPtsDistorted(index_pairs(:,2));
figure
showMatchedFeatures(original,distorted,matchedPtsOriginal,matchedPtsDistorted)
title('Matched SURF Points With Outliers');

% Exclude the outliers, estimate the transformation matrix, and display the results.
[tform,inlierPtsDistorted,inlierPtsOriginal] = estimateGeometricTransform(matchedPtsDistorted,matchedPtsOriginal, 'similarity');
figure
showMatchedFeatures(original,distorted, inlierPtsOriginal,inlierPtsDistorted);
title('Matched inlier points');   

%Recover the original image from the distorted image.
outputView = imref2d(size(original));
Ir = imwarp(distorted,tform,'OutputView',outputView);
figure; imshow(Ir); 
title('Recovered image');

% Visualize it somehow...
imshowpair(original, Ir)

Result:

Note:
I removed the text from the images manually.