I am working on a research problem part of which involves generating normal map from a given image of a rusted object. I searched the internet for techniques to achieve the above and apparently crazybump is mentioned a lot. I tried it but it didn't produce the desirable effects. Also I am looking for a method which draws inspiration from an existing research paper not some closed source software. I turned my attention to the technique described in the this paper. Results from this technique are satisfactory for normal objects because of bias in the training data but it doesn't work very well in the case of rusted objects. After this I focussed my attention on generating Albedo map (the above problem would become more solvable if Albedo map is obtained). Fortunately I am able to generate pretty good albedo maps for images of rusted objects. I used this paper's approach to generate Albedo maps. Now I want to know a good technique to get Normal map given an image and it's corresponding Albedo map. To give you an idea of what kind of images I am working with I am attaching a sample.

Links to research material would be really appreciated. Thanks!