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Super resolution image reconstruction and imaging device

Super resolution (SR) studies started in the 1990s and many papers were issued in the 2000s. Super resolution image reconstruction (SRR) is one of the most common SR methods. SRR reconstructs a high-resolution image (HRI) using multiple low-resolution images (LRIs). However, it requires that certain conditions are met for it to work based on the SRR algorithm. Aliasing in LRIs is one of the essential conditions for SRR. Aliasing occurs when the signal is sampled with specific frequencies not satisfying the Nyquist sampling theorem. In the beginning of this century, analog cameras were replaced with digital cameras. The digital cameras are equipped with digital imaging devices, such as complementary metal oxide semiconductors (CMOS), and charge-coupled devices (CCD), for imaging process. The imaging devices have imaging cells with finite sizes and areas. The cells generate aliasing in accordance with their fill factors. The ability of SRR is deeply related to the performance of imaging devices. In this paper, the relationship is discussed theoretically.