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Image oversampling for page-oriented optical data storage

机译:图像过采样,用于面向页面的光学数据存储

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Page-oriented data storage systems incorporate optical detector arrays [such as complementary metaloxide semiconductor (CMOS) arrays] in order to read data images. For laboratory demonstrations the detector array is typically pixel matched to the data image [Opt. Lett. 22, 1509 (1997)]. This approach requires exceedingly high-performance optics and mechanics for the simultaneous alignment of each data-bearing pixel image to a detector element to be achieved. Systems intended for commercialization are designed with detector arrays that spatially sample the image at or above the Nyquist rate in order to read poorly aligned and distorted images [S. Redfield, Holographic Data Storage (Springer-Verlag, 2000), pp. 347-349]. However, for data page sizes exceeding a megapixel this approach becomes prohibitive in terms of detector bandwidth, size, power, cost, and processing requirements. We have instead developed a sub-Nyquist oversampling methodology that can recover arbitrarily aligned and distorted megapixel data page images with pixel-matched fidelity by using fewer than double the number of detector pixels. Features required for practicable implementation are described, including fiducials for alignment determination.
机译:面向页面的数据存储系统包含光学检测器阵列(例如互补金属氧化物半导体(CMOS)阵列),以便读取数据图像。对于实验室演示,检测器阵列通常是与数据图像像素匹配的像素。来吧22,1509(1997)]。该方法需要极高性能的光学器件和机械装置,以使每个带有数据的像素图像同时与检测器元件对准。旨在商业化的系统设计有检测器阵列,该检测器阵列在空间上以奈奎斯特速率或更高的速率对图像进行采样,以读取对准不良和失真的图像[S. Redfield,全息数据存储(Springer-Verlag,2000年),第347-349页。但是,对于超过百万像素的数据页大小,此方法在检测器带宽,大小,功率,成本和处理要求方面变得令人望而却步。相反,我们开发了一种亚奈奎斯特超采样方法,可以通过使用少于两倍的检测器像素数来恢复具有像素匹配保真度的任意对齐和失真的兆像素数据页面图像。描述了实际实施所需的功能,包括用于对齐确定的基准。

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