README update
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README.org
@ -10,23 +10,26 @@ image as close as possible to the reference image.
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The first method will be the random addition of squares of random size to random
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The first method will be the random addition of squares of random size to random
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locations of random color. If the picture with the new random square improves in
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locations of random color. If the picture with the new random square improves in
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similarity with the reference image, then it is preserved, otherwise the change
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similarity with the reference image, then it is preserved, otherwise the change
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is discarded. The generation of the new pictures will be multi-threaded; if two
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is discarded. This method is here as a reference for the other methods.
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or more threads return an improved picture, the best one will be selected. Then
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it will be reused by the next threads.
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The second method will instead delegate different parts of the picture to
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The second method will be the same as the first method, however The generation
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of the new pictures will be multi-threaded; if two or more threads return an
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improved picture, the best one will be selected. Then it will be reused by the
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next threads.
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The third method will instead delegate different parts of the picture to
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different threads. For instance, if the software runs on four threads, the
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different threads. For instance, if the software runs on four threads, the
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reference picture will be divided in four zones, each one will be generated by a
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reference picture will be divided in four zones, each one will be generated by a
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separate thread.
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separate thread.
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The third method, which can be combined with either the first or the second,
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The fourth method, which can be combined with the first three, will limit the
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will limit the choice in terms of random color to the colors already existing in
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choice in terms of random color to the colors already existing in the reference
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the reference image.
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image.
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The fourth method, which can be combined with the three first methods, will
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The fifth method, which can be combined with the four first methods, will force
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force the random squares to be larger during the first iterations and
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the random squares to be larger during the first iterations and progressively
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progressively smaller until the smallest specified size which should be reached
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smaller until the smallest specified size which should be reached by the last
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by the last iteration.
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iteration.
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More methods will be added later once these four will be implemented.
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More methods will be added later once these four will be implemented.
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