Abstract

This paper presents an adaptive reconstruction method for coded aperture temporal compressive imaging. A pixel-wise equal-exposure coding strategy is first implemented to induce speckle-like features in the moving area of the measured image. A moving area detection method is then proposed to reconstruct the adaptively segmented moving areas into a series of video frames, which are filled back into the stationary clear background. Both simulation and experimental results demonstrate that the proposed method significantly reduces the time consumption of video reconstruction without degradation of image quality.

© 2017 Optical Society of America

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