论文标题
重建非规范采样传感器拍摄的视频
Reconstruction of Videos Taken by a Non-Regular Sampling Sensor
论文作者
论文摘要
最近，已经表明可以在不使用高分辨率传感器的情况下获得高分辨率图像。主要思想是，低分辨率传感器被非规范采样掩码覆盖，然后重建了以这种方式捕获的不完整的高分辨率图像。在本文中，提出了一种多帧重建方法，其中通过非规范采样传感器拍摄视频并随后完全重建。通过利用相邻框架之间的时间相关性，可以进一步提高重建质量。与最先进的单帧重建方法相比，这导致PSNR的视觉上值得明显的增益平均为1.19 dB。
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.
