English

Double Sparse Multi-Frame Image Super Resolution

Computer Vision and Pattern Recognition 2015-12-03 v1

Abstract

A large number of image super resolution algorithms based on the sparse coding are proposed, and some algorithms realize the multi-frame super resolution. In multi-frame super resolution based on the sparse coding, both accurate image registration and sparse coding are required. Previous study on multi-frame super resolution based on sparse coding firstly apply block matching for image registration, followed by sparse coding to enhance the image resolution. In this paper, these two problems are solved by optimizing a single objective function. The results of numerical experiments support the effectiveness of the proposed approch.

Keywords

Cite

@article{arxiv.1512.00607,
  title  = {Double Sparse Multi-Frame Image Super Resolution},
  author = {Toshiyuki Kato and Hideitsu Hino and Noboru Murata},
  journal= {arXiv preprint arXiv:1512.00607},
  year   = {2015}
}
R2 v1 2026-06-22T11:59:23.236Z