Comment Practical Application? (Score 1) 96
Though knowing what part of the brain is responsible for this feat is a great revelation, it has been known that eye movement helps us to filter the noise and false images generated by our all too imperfect visual system.
With movement our brain tests repeatedly our rods and cones to verify that what they see is actually in front of us and not due to various things like the blood flowing through our retina, or the attenuation of a single or group of rods or cones with respect to others. After such eye movements, if a rod or cone still registers the same value then the brain can filter it out as not being real, or at least part of a smooth blank space (which probably gets ignored as well).
I am wondering if this can be applied to modern cameras, which seem to have problems with image noise. Instead of employing small sensor movements to reduce camera shake, perhaps they could be used to move the sensor in a predetermined path, one in which the final image could be calculated from. It would seem that if such a calculation of the resultant image could be done, then a much better image could be the result.
