An iterative super-resolution reconstruction of image sequences using fast affine block-based registration with BTV regularization

Super-Resotution Reconstruction (SRR) aims to produces one or a set of high-resolution (HR) images from a sequence of low-resolution (LR) images. Due to translational registration, super-resolution reconstruction can apply only on the sequences that have simple translation motion. This paper proposed a novel super-resolution reconstruction that that can apply on real sequences or complex motion sequences. The proposed SRR uses a high accuracy registration algorithm, the fast affine block-based registration [16], in the maximum likelihood framework. Moreover, the BTV (Bi-Total Variance) regularization [12] is used to compensate the missing measurement information. The experimental results show that the proposed reconstruction can apply on real sequence such as Suzie.