Pattern Research on Sparse Camera Array for Super-Resolution Imaging

Abstract

This study addresses the quantitative pattern design of sparse camera arrays in multi-frame super-resolution (SR) imaging systems. We propose the Weighted Ratio of Repeated Spectra (WRRS) metric to predict the super-resolution performance of sparse camera arrays. The WRRS consists of the weight determined by the energy distribution of the imaging scene, and the ratio of repeated spectra intensity determined by array patterns. Our method achieves the optimization of sparse camera array pattern under certain scene without building an actual imaging system. The real image experiment shows that the WRRS is correlated with the median of the SR image quality distribution. Subsequently, a six-camera sparse camera array is designed for aircraft scene with varying object distance. Compared with current qualitatively and quantitatively designed patterns, the proposed sparse camera array pattern that specifically designed for aircraft achieves better average PSNR in the aircraft scene.