While acquiring specific physical properties within a targeted area, spatial resolution of hardware is usually one of the major limitations that affects the precision of data acquisition. Though measured results with higher spatial resolution are always desired, adequate configuration of hardware setups sometimes implies higher cost or longer acquisition time. In this study, a versatile resolution enhancement method is proposed to improve the sampling resolution. An efficient algorithm is used to convert the lower-resolution data into higher-resolution approximation. Three different engineering applications are used to verify the effectiveness of the proposed method. From the arithmetic results, the spatial sampling resolution can be greatly improved without trading-off the operating time.
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A versatile spatial resolution enhancement method for data acquisition