Imaging restoration for sparse aperture optical systems based on wavelet threshold and Wiener filtering

On the basis of the research on an ideal diffraction optical imaging system with sparse apertures, the algorithm of the imaging restoration for sparse aperture optical systems is proposed based on the improved wavelet threshold method and Wiener filtering. The improved wavelet threshold noiseblanking algorithm was designed to eliminate the imaging noise and obtain the ideal imaging result for the sparse aperture optical imaging systems in which noise jamming exists. And the imaging restoration was realized by using the Wiener filtering method. In the experiment, the optical design software ZEMAX was used to design the sparse aperture optical systems with different fill factors, and the algorithm proposed in this paper was applied to image restoration. The experimental results indicate that the algorithm is superior to the method which uses Wiener filtering only.