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Can an algorithm be derived to classify digital images according to how they were generated, i.e. the classes would be:

  • Real-world photograph captured with an actual camera.
  • A Computer-Generated realistic scene.
  • A hand-drawn image or a painting.

Could perhaps a Machine Learning approach, geared towards analyzing statistics of the signal provide sufficient insight on the problem ? In that case, is there any known implementation of such algorithm publicly available ?

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closed as unclear what you're asking by trichoplax Mar 12 '16 at 11:28

Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

  • $\begingroup$ Putting online and use the google image advanced search ? :-p ( beside kidding, they might have publish (white) papers on that ). $\endgroup$ – Fabrice NEYRET Mar 12 '16 at 0:10
  • $\begingroup$ Questions asking us to recommend or find a book, tool, software, tutorial or other off-site resource are off-topic as they tend to attract opinionated answers and spam. Instead, describe your problem or need and the steps, if any, you've taken to solve it. $\endgroup$ – trichoplax Mar 12 '16 at 11:25
  • $\begingroup$ As it stands, this question does not specify what types of images will need to be considered, so I am closing as unclear. The question may be reopened if it can be edited to clarify what types of non-photographic images will be presented, and to request an algorithm rather than an off site resource recommendation. $\endgroup$ – trichoplax Mar 12 '16 at 11:28
  • $\begingroup$ See also What topics can I ask about here? $\endgroup$ – trichoplax Mar 12 '16 at 11:29
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Difficulty depends on what you really want to classify, i.e. what exactly your data base of images is made ok. For simple hand-drawn or computer art, I would think of just looking the color histogram (but for complex art with gradients; but still these gradients are likely to induce a very smooth colormap).

At the other extreme, distinguishing realistic computer graphics image from reality is probably impossible.

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