Increasing imaging resolution by covering your sensor
Increasing imaging resolution by covering your sensor
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通过覆盖传感器来提高成像分辨率
DOI：
10.1109/icip.2011.6115839
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
André Kaup
中科院分区：
文献类型：
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作者：
M. Schöberl;Jürgen Seiler;S. Fößel;André Kaup
到目前为止，相机分辨率的增加需要具有越来越多像素的图像传感器。然而，由于功率和复杂性的限制，采集系统在其每秒像素吞吐量方面受到限制。在给定系统中简单地捕获更多像素通常是不可能的。我们提出了一种新的非规则成像架构，采样只有很少的像素和高分辨率图像重建后。我们的采样进行了优化，以提供从具有常规读出电路的传感器的非常规空间采样。然后，可以使用现有的慢速图像采集系统来捕获数据。图像重建与局部稀疏为基础的方法进行。结果是在采集期间需要小得多的努力的高分辨率图像。
Up to now, an increase in camera resolution required image sensors with more and more pixels. However, acquisition systems are limited in their pixels per second throughput given as power and complexity constraints. Simply capturing more pixels in a given system is often not possible. We propose a new non-regular imaging architecture that samples only few pixels and reconstructs a high resolution image afterwards. Our sampling is optimized to provide non-regular spatial sampling from a sensor with regular readout circuits. An existing slow image acquisition system can then be used to capture the data. The image reconstruction is performed with a local sparsity-based approach. The result is a high resolution image that requires a much smaller effort during acquisition.