As optical imaging era transits to electro-optical (E-O) imaging one generally

spatial resolution is mainly limited by detectors for the overwhelming majority of imaging systems. It is obvious that the prior is to enhance detector resolution for high-resolved or even super-resolved imaging system. The spatial resolution of detector mainly depends on the effects of both the sampling process and the size and shape of active area. So far

there have been two main categories of solutions: one is the straightforward method of fabricating very small pixel

but it has a limit and causes some performances of detector going down; the other is called as super-resolution reconstruction

which is to solve undersampling phenomenon caused by insufficient sampling frequency. It is to decrease aliasing and increase spatial resolution based on the oversampling theory

but it has large limitation for it has another limitation that is the aperture effect of pixel. According to the pros and cons above

a new method is proposed based on special-shaped detectors for increasing simultaneously both the sampling frequency and the detector cutoff which depends on the aperture effect of pixel in spectral domain. It is realized with two detector-arrays of special-shaped pixel where each pixel is deducted a quarter. It is proved that if a small plot of active area per pixel is deducted and the frequency-response distribution of the complement will equal to that of the deducted part without consideration of the amplitude. And then multiple mis-registered frames available are used to solve the grayscale matrix and reconstruct the super-resolution image in the post-detector processing. It can not only enhance the detector resolution

but also weigh rationally the other performances. Finally it is analyzed and proved through theoretical assessment and specific experiment that the imaging method with detectors of special-shaped pixels should improve spatial resolution better for the detector-limited systems.