Super resolution (SR) is being considered as one of the holy grails of optical imaging and image processing.Different from the registration error and costly problem faced in multiple subpixel image registration fusion method to achieve super-resolution

this paper introduces the compressive sensing theory into super-resolution imaging

which benefit from the general sparse representation of most nature images

and proposes a novel single-exposure frequency-domain amplitude encoding compressive imaging method.Exploiting the 4-f Fourier optics architecture for modulating the image information by the 0/1 amplitude randomly in the frequency domain

low-resolution CCD device can then be used to records the corresponding measured values by integral downsampling and finally apply optimization methods to reconstruct the original high-resolution images from small number of measured values.Simulation experiments demonstrate that the 2D image information can be effectively acquired and reconstruction from the measured data by our proposed method.In addition

our method can effectively deal with large-scale image compressive imaging problem and thus has an important application prospects.