This paper presents a method for optimizing spectral imaging based on incoherent correlation holography. By adjusting the axial position of the PZT, a series of interference patterns with varying optical path differences (OPD) is captured. Due to the limited precision of the PZT, we propose an optimization algorithm capable of accurately retrieving the intensity variation. Following the Fourier transform to the image stack, the spatial wavefront corresponding to different wavelengths can be reconstructed. We demonstrate the effectiveness of our approach through spectral reconstruction under quasimonochromatic illumination, while also highlighting the potential for multi-spectral imaging applications.
Far-field photoelectric detection has long been powerful tool for defense and public security. The resolution, one of the most critical metrics of a detection system, characterizes its capability to discern details and is primarily limited by the aperture dimension. In addition to expanding the aperture directly, aperture synthesis is a typical method for resolution enhancement, in which a series of sub-apertures form a larger virtual aperture. Here we show a super-resolution imaging method based on aperture synthesis with incoherent illumination. The phase of the light field is retrieved with an autocorrelator, and details, which could not be captured with the same aperture diameter, can be obtained under different sub-apertures by wavefront modulation. The super-resolution result is reconstructed by synthesizing the sub-aperture images in the Fourier domain using an iterative algorithm. The capability in resolution enhancement of this method is demonstrated with simulations and experiments.
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