Flexible foveated imaging using a single Risley-prism imaging system

Abstract

Foveated imaging, which has the ability to provide overall situational awareness over a large field of view and high-resolution perception of local details, has significant advantages in many specific applications. However, existing artificially foveated imaging systems are complex, bulky, and expensive, and the flexibility of the fovea specifically has many limitations. To overcome these deficiencies, this paper proposes a method for foveated imaging by collecting multiple partially overlapping sub-fields of view. To capture the above special sub-fields of view, we propose a high-efficiency algorithm based on the characteristics of the field of view deflected by the Risley-prism and aimed at solving the prism rotation angles. In addition, we prove the reliability of the proposed algorithm by cross-validation with the particle swarm optimization algorithm. The experimental results show that the proposed method can achieve flexible foveated imaging using a single Risley-prism imaging system.

An Automatic Calibration Method for the Field of View Aberration in a Risley-Prism-Based Image Sensor

“…The Risley prism, which Rosell first developed in 1960 as a prism scanner [ 1 ], comprises two wedge prisms that are aligned and may be rotated. Other Risley prism devices may consist of a pair of tilting, rotational and tilting, or translational prisms [ 2 , 3 , 4 ]. By altering the angle of the prism, the Risley-prism-based image sensor realizes the deflection of the optic axis, which has the effect of enlarging the imaging field of view (FOV).…”