Reconstruction of multiview images taken with non-regular sampling sensors
Reconstruction of multiview images taken with non-regular sampling sensors
复制标题
非规则采样传感器拍摄的多视图图像的重建
DOI：
10.1109/icassp.2014.6854713
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
André Kaup
中科院分区：
文献类型：
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作者：
T. Richter;Markus Jonscher;Wolfgang Schnurrer;Jürgen Seiler;André Kaup
提高空间图像分辨率是图像处理领域广泛讨论的领域。在本文中，我们提出了一种有效的高分辨率图像重建方法，该方法是在多视图设置中使用不规则屏蔽的低分辨率传感器拍摄的。该方法基于稀疏性假设，这意味着仅使用很少的系数就可以在变换域中有效地表示自然图像。利用来自相邻摄像机的信息可以为中心高分辨率视图带来更好的重建质量。由于相邻摄像机视角的照明可能不同，因此来自相邻视图的信息必须适应要重建的视图。仿真结果表明，与最先进的单视图重建方法相比，适当结合相邻视图的信息可使 PSNR 增益高达 2.20 dB。
Increasing spatial image resolution is a widely discussed area in the field of image processing. In this paper, we present an efficient reconstruction approach for high-resolution images, taken with irregularly shielded low-resolution sensors in a multiview setup. The approach is based on the sparsity assumption, meaning that natural images can be efficiently represented in a transform-domain using only few coefficients. Utilizing information from adjacent cameras results in a better reconstruction quality for the central high-resolution view. Since neighboring camera perspectives might differ in illumination, the information from adjacent views has to be adapted to the view to be reconstructed. The simulation results show that a proper incorporation of information from neighboring views leads to a PSNR gain of up to 2.20 dB compared to a state-of-the-art singleview reconstruction approach.