  Recently, it has been shown that a high resolution image can be obtained
without the usage of a high resolution sensor. The main idea has been that a
low resolution sensor is covered with a non-regular sampling mask followed by a
reconstruction of the incomplete high resolution image captured this way. In
this paper, a multi-frame reconstruction approach is proposed where a video is
taken by a non-regular sampling sensor and fully reconstructed afterwards. By
utilizing the temporal correlation between neighboring frames, the
reconstruction quality can be further enhanced. Compared to a state-of-the-art
single-frame reconstruction approach, this leads to a visually noticeable gain
in PSNR of up to 1.19 dB on average.
