Super-resolution image reconstruction from a sequence of aliased imagery

摘要: This paper presents a super-resolution image reconstruction from sequence of aliased imagery. The sub-pixel shifts (displacement) among the images are unknown due to uncontrolled natural jitter imager. A correlation method is utilized estimate between each low-resolution with respect reference image. An error-energy reduction algorithm derived reconstruct high-resolution alias-free output main feature this proposed that we treat spatial samples possess and irregular (uncontrolled) as set constraints populate an over-sampled (sampled above desired bandwidth) processing array. estimated locations these their values constitute domain constraint. Furthermore, bandwidth (or sensor imposed criterion used frequency constraint on results testing simulated real world non-aliased FLIR (Forward-Looking Infrared) images, visible provided.