The transition from optical film to digital image sensors (DIS) in imaging systems has brought great convenience to human life. However, the sampling resolution of DIS is considerably lower than that of optical film due to the limitation that the pixels are significantly larger than the silver halide molecules. How to break DIS's sampling limit and achieve high‐resolution imaging is highly desired for imaging applications. In the research, a novel mechanism that allows for a significant reduction in the smallest sampling unit of DIS to as small as 1/16th of a pixel, or even smaller, through measuring the intra‐pixel quantum efficiency for the first time and recomputing the image — a technique referred to as hyper‐sampling imaging (HSI) is developed. Employing the HSI method, the physical sampling resolution of regular DIS can be enhanced by 4 × 4 times or potentially higher, and detailed object information can be acquired. The HSI method has undergone rigorous testing in real‐world imaging scenarios, demonstrating its robustness and efficiency in overcoming the sampling constraints of conventional DIS. This advancement is particularly beneficial for applications such as remote sensing, long‐range reconnaissance, and astronomical observations, where the ability to capture fine details is paramount.

中文翻译：

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通过使用稳态波场测量像素内量子效率的超采样成像


成像系统中从光学胶片到数字图像传感器 （DIS） 的过渡为人类生活带来了极大的便利。然而，由于像素明显大于银卤化物分子的限制，DIS 的采样分辨率远低于光学胶片。如何打破 DIS 的采样限制并实现高分辨率成像是成像应用非常需要的。在这项研究中，通过首次测量像素内量子效率并重新计算图像，开发了一种新的机制，允许将 DIS 的最小采样单位显着减少到像素的 1/16，甚至更小——一种称为超采样成像 （HSI） 的技术。采用 HSI 方法，常规 DIS 的物理采样分辨率可以提高 4 × 4 倍或更高，并且可以获取详细的目标信息。HSI 方法已在真实世界成像场景中经过了严格的测试，证明了它在克服传统 DIS 采样限制方面的稳健性和效率。这一进步特别有利于遥感、远程侦察和天文观测等应用，在这些应用中，捕获精细细节的能力至关重要。