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Visual aberrations, such as farsightedness and nearsightedness, have been a prevalent problem around the world for many years. A common way to correct these problems is wearing eyeglasses, which can be cumbersome or infeasible for certain groups of people. An alternative approach is to utilize specialized hardware to convert a normal display to a light-field display and do computation in a specific way such that the displayed image will become clear when it reaches the user’s retina.

Recent studies have shown various computing methods on different hardware. However, most of them focus on the quality of the perceived image. In this report, we want to examine these algorithms from a practical point of view, focusing on the tradeoff between runtime and quality. We first propose our design and implementation of two microlens-based prefiltering algorithms and then speed up a few selected algorithms via parallelism to achieve real-time performance.

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