Super-Resolution Image Reconstruction From Aliased FLIR Imagery
Young, S. S., Driggers, Ronald G. · Defense Technical Information Center (DTIC) · 2004
This paper presents a super-resolution image reconstruction from a sequence of aliased imagery. The sub-pixel shifts (displacement) among the images are unknown due to uncontrolled natural jitter of the imager. A correlation method is utilized to estimate sub-pixel shifts between each low resolution aliased image with respect to a reference image. An error-energy reduction algorithm is derived to reconstruct the high-resolution alias-free output image by imposing the spatial domain constraint and the spatial frequency domain constraint in an iterative fashion to form the desired alias-free (super-resolved) image. The results of testing the proposed algorithm on the simulated low resolution FLIR (Forward-Looking Infrared) images and real world FLIR images are provided.