Sub-pixel processing algorithm based on boundary recursion and error optimization in staring FPA nonuniform micro-scanning imaging

For the 2 × 2 nonuniform micro-scanning, of which the interframe displacement is no longer equivalent to accurate half-pixel, a sub-pixel processing algorithm based on boundary recursion and error optimization is proposed in this paper. Boundary recursive technique is introduced to solve the ill-posed problem in the process of nonuniform micro-scanning sub-pixel image reconstruction, but the manually predefined boundary values in boundary recursion inevitably result in error. Aiming at eliminating the error in boundary recursion, error optimization based on gray statistical principle is used in this paper. All the simulation results and experiment data show that the algorithm proposed in this paper can realize accurate sub-pixel imaging and improve image resolution. The algorithm is robust, simple and effective, and it is hopeful to be used in actual system.