IEEE Trans Image Process - Interpolation-based image super-resolution using multisurface fitting.

Tópicos

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Resumo

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.

Resumo Limpo

paper propos new interpolationbas method imag superresolut reconstruct idea use multisurfac fit take full advantag spatial structur inform site lowresolut pixel fit one surfac final estim made fuse multisampl valu surfac maximum posteriori fashion method reconstruct highresolut imag preserv imag detail effect without hypothesi imag prior furthermor extend method general nois model experiment result simul realworld data show superior propos method quantit visual comparison

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