• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Low-Rank Representation-Based Image Super-Resolution Reconstruction with Edge-Preserving

Vol. 14, No. 9, September 30, 2020
10.3837/tiis.2020.09.010, Download Paper (Free):

Abstract

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.


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Cite this article

[IEEE Style]
R. Gao, D. Cheng, J. Yao and L. Chen, "Low-Rank Representation-Based Image Super-Resolution Reconstruction with Edge-Preserving," KSII Transactions on Internet and Information Systems, vol. 14, no. 9, pp. 3745-3761, 2020. DOI: 10.3837/tiis.2020.09.010.

[ACM Style]
Rui Gao, Deqiang Cheng, Jie Yao, and Liangliang Chen. 2020. Low-Rank Representation-Based Image Super-Resolution Reconstruction with Edge-Preserving. KSII Transactions on Internet and Information Systems, 14, 9, (2020), 3745-3761. DOI: 10.3837/tiis.2020.09.010.

[BibTeX Style]
@article{tiis:23859, title="Low-Rank Representation-Based Image Super-Resolution Reconstruction with Edge-Preserving", author="Rui Gao and Deqiang Cheng and Jie Yao and Liangliang Chen and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.09.010}, volume={14}, number={9}, year="2020", month={September}, pages={3745-3761}}