What are the advantages of your method of creating foveated images as compared with other methods?
A number of methods have been explored in the past. An early method of foveation involved increasing the size of the pixels away for the direction of gaze. A related method is to subsample the image away from the direction of gaze. Both of these methods suffer from a serious problem; namely, aliasing, which produces shimmering and illusory motion in the low resolution regions of the foveated image. Variable pixel size also produces visible blocking at the edges of the larger pixels. To eliminate aliasing and blocking effects is it necessary to low pass filter before sampling and to appropriately interpolate the samples when reconstructing the foveated image for display. Our method of foveation does just this. Many methods of foveation do not incorporate the actual fall off in resolution of the human visual system (as measured in perception experiments). As mentioned earlier, matching the display to the encoding properties of the eye is the most efficient way to allocate image data bits
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