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Abstract

Presenting the variety of high resolution images captured by high-quality
devices, or generated on the computer, is challenging due to the limited
resolution of current display devices. Our recent work addressed this problem
by taking into account human perception. By applying a specific motion to a
high-resolution image shown on a low-resolution display device, human eye
tracking and integration could be exploited to achieve apparent resolution
enhancement. To this end, the high-resolution image is decomposed into a
sequence of temporally varying low-resolution images that are displayed at high
refresh rates. However, this approach is limited to a specific class of simple
or constant movements, i.e. ``panning''. In this work, we generalize this idea
to arbitrary motions, as well as to videos with arbitrary motion flow. The
resulting image sequences are compared to a range of other down-sampling
methods.