title: Interpolation-based image super-resolution using multisurface fitting.
abstract: In this paper, we propose a new interpolation-based method of image super-resolution reconstruction. The idea is using multisurface fitting to take full advantage of spatial structure information. Each site of low-resolution pixels is fitted with one surface, and the final estimation is made by fusing the multisampling values on these surfaces in the maximum a posteriori fashion. With this method, the reconstructed high-resolution images preserve image details effectively without any hypothesis on image prior. Furthermore, we extend our method to a more general noise model. Experimental results on the simulated and real-world data show the superiority of the proposed method in both quantitative and visual comparisons.
authors.forename: Fei
authors.initials: F
authors.lastname: Zhou
authors.forename: Wenming
authors.initials: W
authors.lastname: Yang
authors.forename: Qingmin
authors.initials: Q
authors.lastname: Liao