Motion-compensation comparison (IMAGE)
Caption
The researchers used a dynamic, complex background with a randomly moving letter "B" to compared their motion-compensation method with current state-of-the-art single-pixel dynamic imaging approaches under complex scenes. (a) shows the sliding-window imaging result with motion compensation using the new method, (b) the uncompensated sliding-window imaging result, (c) current state-of-the-art method, and (d) the ground truth. The results show that the new method significantly improved the fidelity of reconstructed moving objects.
Credit
Yuanjin Yu, Beijing Institute of Technology
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