一种结合随机编码和模糊化的超分辨率硬件实现
A Hardware Realization of Superresolution Combining Random Coding and Blurring
摘要：
在难以获得高分辨率传感器阵列的成像应用中，经常需要分辨率增强。已经提出了许多计算成像方法，通过巧妙地调制来自场景的光，在低分辨率传感器上编码高分辨率场景信息。这些方法通常需要移动成像设备的某个部分，或者仅获取高达调制元件的分辨率的图像。在这里，提出了一种技术，用于解决超出的分辨率的逐点调制掩模元件和传感器阵列，通过引入一个受控的模糊到光路。该分析包含一个直观和精确的表达系统的整体superresolvability，并提出参数来解释如何组合的随机编码和模糊，使superresolution问题的适定性。实验结果表明，在实际中使用标准光学部件，在没有成像装置的机械运动的情况下，并且在没有对场景结构的任何先验假设的情况下，大约$4\times$的分辨率增强是可能的。
英文摘要：
Resolution enhancements are often desired in imaging applications where high-resolution sensor arrays are difficult to obtain. Many computational imaging methods have been proposed to encode high-resolution scene information on low-resolution sensors by cleverly modulating light from the scene before it hits the sensor. These methods often require movement of some portion of the imaging apparatus or only acquire images up to the resolution of a modulating element. Here a technique is presented for resolving beyond the resolutions of both a pointwise-modulating mask element and a sensor array through the introduction of a controlled blur into the optical pathway. The analysis contains an intuitive and exact expression for the overall superresolvability of the system, and arguments are presented to explain how the combination of random coding and blurring makes the superresolution problem well-posed. Experimental results demonstrate that a resolution enhancement of approximately $4\times$ is possible in practice using standard optical components, without mechanical motion of the imaging apparatus, and without any a priori assumptions on scene structure.
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