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copied!<p>Unfortunately I am not next to my library, or I could reccomend a number of books on perceptual psychology. </p> <p>The first thing you must consider is the physiology of the human eye is such that when we examine an image or scene, we are only capturing very small bits at a time, as our eyes dart around rapidly. Our mind peices the different parts together to try and form a whole.</p> <p>You might start by finding an algorithm for the path of an eyeball as it darts around. Perhaps it is attracted to contrast?</p> <p>Next is that our eyes adjust the "exposure" depending on the context. It's like those high dynamic range images, if they were peiced together not by multiple exposures of a whole scene, but by many small images, each balanced on its own, but blended into its surroundings to form a high dynamic range.</p> <p>Now there was a finding in a monkey brain that there is a single neuron that lights up if there's a diagonal line in the upper left of its field of vision. Similar neurons can be found for vertical lines, and horizontal lines in various areas of that monkey's field of vision. The "diagonalness" determines the frequency with which that neuron fires.</p> <p>one might speculated that other neurons might be found and mapped to other qualities such as redness, or texturedness, and other things.</p> <p>There's something humans can do that I've not seen a computer program ever able to do. it's something called "closure", where a human is able to fill in information about something that they are seeing, that doesn't actually exist in the image. an example:</p> <pre><code> * * * </code></pre> <p>is that a triangle? If you knew that it was in advance, then you could probably make a program to connect the dots. But what if it's just dots? How can you know? I wouldn't attempt this one unless I had some really clever way of dealing with that one.</p> <p>There are many other facts about human perception you might be able to use. Good luck, you've not picked a straightforward task.</p>

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