Literature DB >> 25265631

Fast image upsampling via the displacement field.

Lingfeng Wang, Huaiyu Wu, Chunhong Pan.   

Abstract

In this paper, we present a fast image upsampling method within a two-scale framework to ensure the sharp construction of upsampled image for both large-scale edges and small-scale structures. In our approach, the low-frequency image is recovered via a novel sharpness preserving interpolation technique based on a well-constructed displacement field, which is estimated by a cross-resolution sharpness preserving model. Within this model, the distances of pixels on edges are preserved, which enables the recovery of sharp edges in the high-resolution result. Likewise, local high-frequency structures are reconstructed via a sharpness preserving reconstruction algorithm. Extensive experiments show that our method outperforms current state-of-the-art approaches, based on quantitative and qualitative evaluations, as well as perceptual evaluation by a user study. Moreover, our approach is very fast so as to be practical for real applications.

Year:  2014        PMID: 25265631     DOI: 10.1109/TIP.2014.2360459

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  Single image super-resolution via an iterative reproducing kernel Hilbert space method.

Authors:  Liang-Jian Deng; Weihong Guo; Ting-Zhu Huang
Journal:  IEEE Trans Circuits Syst Video Technol       Date:  2015-09-02       Impact factor: 4.685

2.  Single image super-resolution based on approximated Heaviside functions and iterative refinement.

Authors:  Xin-Yu Wang; Ting-Zhu Huang; Liang-Jian Deng
Journal:  PLoS One       Date:  2018-01-12       Impact factor: 3.240

  2 in total

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